MS.ipynb

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    "colab": {
      "name": "MS.ipynb",
      "provenance": [],
      "include_colab_link": true
    }
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/louadi/NEASE-tutorials/blob/main/MS.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Ip37IyCyxfv",
        "outputId": "17a75d8a-0768-4857-c213-da616060b534",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        }
      },
      "source": [
        "# If you run this on google colab all you need to do is to upload your table containing list of events\n",
        "# here we used the diff. spliced table from MAJIQ \"AL_NAWM.deltapsi.tsv\"\n",
        "\n",
        "\n",
        "!pip install nease"
      ],
      "id": "9Ip37IyCyxfv",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Installing collected packages: zope.interface, zope.event, urllib3, url-normalize, gevent, colorlog, colorama, cattrs, xmltodict, suds-community, requests-cache, pandas, grequests, easydev, tenacity, scipy, matplotlib, biothings-client, bioservices, statsmodels, plotly, mygene, kaleido, gseapy, nease\n",
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            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
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            "Successfully installed bioservices-1.8.2 biothings-client-0.2.6 cattrs-1.8.0 colorama-0.4.4 colorlog-6.6.0 easydev-0.12.0 gevent-21.8.0 grequests-0.6.0 gseapy-0.10.7 kaleido-0.2.1 matplotlib-3.5.0 mygene-3.2.2 nease-1.1.9 pandas-1.3.4 plotly-5.4.0 requests-cache-0.8.1 scipy-1.7.2 statsmodels-0.13.1 suds-community-1.0.0 tenacity-8.0.1 url-normalize-1.4.3 urllib3-1.25.11 xmltodict-0.12.0 zope.event-4.5.0 zope.interface-5.4.0\n"
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      "metadata": {
        "id": "XKiG3JRjyzaF"
      },
      "source": [
        ""
      ],
      "id": "XKiG3JRjyzaF"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "12cbf85b",
        "outputId": "6ec150b3-4f92-421f-fa0d-2d02751a009e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "import nease\n",
        "import pandas as pd"
      ],
      "id": "12cbf85b",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Creating directory /root/.config/bioservices \n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "39f40198"
      },
      "source": [
        "### Input of NEASE"
      ],
      "id": "39f40198"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5991e697"
      },
      "source": [
        "# Diff spliced events in Multiple sclerosis (MS)\n",
        "# please change file accordinally \n",
        "\n",
        "table=pd.read_table('AL_NAWM.deltapsi.tsv')"
      ],
      "id": "5991e697",
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f1aa8092"
      },
      "source": [
        "### Run NEASE"
      ],
      "id": "f1aa8092"
    },
    {
      "cell_type": "code",
      "metadata": {
        "tags": [],
        "id": "a086e7da",
        "outputId": "319a724b-a7df-428f-9bd1-039c9b5997cb",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "# Run nease with majiq\n",
        "\n",
        "events=nease.run(table, organism='Human',input_type='MAJIQ')"
      ],
      "id": "a086e7da",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Processing MAJIQ format...\n",
            "MAJIQ output converted successfully to NEASE format.\n",
            "\n",
            "\t\tData Summary\n",
            "**************************************************\n",
            "19 protein domains are affected by AS.\n",
            "\n",
            "1 linear motifs are affected by AS.\n",
            "6 interacting resiude are affected by AS.\n",
            "\n",
            "14 of the affected domains/motifs have known interactions.\n",
            "156 protein interactions/binding affected.\n",
            "\n",
            "**************************************************\n",
            "Running enrichment analysis...\n",
            "NEASE enrichment done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9fea285c"
      },
      "source": [
        "### Classic gene enrichment"
      ],
      "id": "9fea285c"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4e727949",
        "outputId": "9fb0c6d3-2f1e-45dd-a7a3-4e6d755a338d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 393
        }
      },
      "source": [
        "# Run on KEGG gene set\n",
        "enr=events.classic_enrich(gseapy_databases=['Reactome_2016']).head(10)\n",
        "enr"
      ],
      "id": "4e727949",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>Gene_set</th>\n",
              "      <th>Term</th>\n",
              "      <th>Overlap</th>\n",
              "      <th>P-value</th>\n",
              "      <th>Adjusted P-value</th>\n",
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              "      <td>Muscle contraction Homo sapiens R-HSA-397014</td>\n",
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              "      <td>ATP2B4;ATP2B1;SLC8A1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Reactome_2016</td>\n",
              "      <td>Activation of NMDA receptor upon glutamate binding and postsynaptic events Homo sapiens R-HSA-442755</td>\n",
              "      <td>4/39</td>\n",
              "      <td>0.000059</td>\n",
              "      <td>0.005953</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>21.611973</td>\n",
              "      <td>210.358328</td>\n",
              "      <td>GRIA1;CAMK2D;BRAF;GRIN1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Reactome_2016</td>\n",
              "      <td>Cardiac conduction Homo sapiens R-HSA-5576891</td>\n",
              "      <td>6/135</td>\n",
              "      <td>0.000097</td>\n",
              "      <td>0.005953</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8.923911</td>\n",
              "      <td>82.468696</td>\n",
              "      <td>CAMK2D;CACNA2D1;ATP2B4;CACNA1C;ATP2B1;SLC8A1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Reactome_2016</td>\n",
              "      <td>Membrane Trafficking Homo sapiens R-HSA-199991</td>\n",
              "      <td>10/420</td>\n",
              "      <td>0.000100</td>\n",
              "      <td>0.005953</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4.799458</td>\n",
              "      <td>44.183420</td>\n",
              "      <td>GRIA1;GOLGA2;C2CD5;TSG101;TFG;KIF3A;AP1B1;DTNBP1;MIA3;BICD1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Reactome_2016</td>\n",
              "      <td>Unblocking of NMDA receptor, glutamate binding and activation Homo sapiens R-HSA-438066</td>\n",
              "      <td>3/17</td>\n",
              "      <td>0.000101</td>\n",
              "      <td>0.005953</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>40.182615</td>\n",
              "      <td>369.585221</td>\n",
              "      <td>GRIA1;CAMK2D;GRIN1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Reactome_2016</td>\n",
              "      <td>NRAGE signals death through JNK Homo sapiens R-HSA-193648</td>\n",
              "      <td>4/45</td>\n",
              "      <td>0.000105</td>\n",
              "      <td>0.005953</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>18.443670</td>\n",
              "      <td>169.025198</td>\n",
              "      <td>ARHGEF11;MCF2L;ARHGEF3;ARHGEF7</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>Reactome_2016</td>\n",
              "      <td>Ion homeostasis Homo sapiens R-HSA-5578775</td>\n",
              "      <td>4/51</td>\n",
              "      <td>0.000171</td>\n",
              "      <td>0.007790</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>16.084296</td>\n",
              "      <td>139.488727</td>\n",
              "      <td>CAMK2D;ATP2B4;ATP2B1;SLC8A1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>Reactome_2016</td>\n",
              "      <td>Signalling by NGF Homo sapiens R-HSA-166520</td>\n",
              "      <td>10/450</td>\n",
              "      <td>0.000176</td>\n",
              "      <td>0.007790</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>4.465335</td>\n",
              "      <td>38.599100</td>\n",
              "      <td>ARHGEF11;CAMK2D;MCF2L;AKT3;ARHGEF3;RAPGEF2;BRAF;ARHGEF7;DUSP16;GRIN1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>Reactome_2016</td>\n",
              "      <td>SALM protein interactions at the synapse Homo sapiens R-HSA-8849932</td>\n",
              "      <td>3/22</td>\n",
              "      <td>0.000225</td>\n",
              "      <td>0.008949</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>29.600794</td>\n",
              "      <td>248.647657</td>\n",
              "      <td>GRIA1;DLG3;GRIN1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Gene_set  ...                                                                 Genes\n",
              "0  Reactome_2016  ...            CAMK2D;TPM2;CACNA2D1;TPM1;ATP2B4;DMD;CACNA1C;ATP2B1;SLC8A1\n",
              "1  Reactome_2016  ...                                                  ATP2B4;ATP2B1;SLC8A1\n",
              "2  Reactome_2016  ...                                               GRIA1;CAMK2D;BRAF;GRIN1\n",
              "3  Reactome_2016  ...                          CAMK2D;CACNA2D1;ATP2B4;CACNA1C;ATP2B1;SLC8A1\n",
              "4  Reactome_2016  ...           GRIA1;GOLGA2;C2CD5;TSG101;TFG;KIF3A;AP1B1;DTNBP1;MIA3;BICD1\n",
              "5  Reactome_2016  ...                                                    GRIA1;CAMK2D;GRIN1\n",
              "6  Reactome_2016  ...                                        ARHGEF11;MCF2L;ARHGEF3;ARHGEF7\n",
              "7  Reactome_2016  ...                                           CAMK2D;ATP2B4;ATP2B1;SLC8A1\n",
              "8  Reactome_2016  ...  ARHGEF11;CAMK2D;MCF2L;AKT3;ARHGEF3;RAPGEF2;BRAF;ARHGEF7;DUSP16;GRIN1\n",
              "9  Reactome_2016  ...                                                      GRIA1;DLG3;GRIN1\n",
              "\n",
              "[10 rows x 10 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "08fa0779-bb3c-4c01-8c50-64387f5f5dad"
      },
      "source": [
        "enr.to_csv(\"MS:gene-level enrichment.csv\")"
      ],
      "id": "08fa0779-bb3c-4c01-8c50-64387f5f5dad",
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "95c26500"
      },
      "source": [
        "### NEASE analysis\n"
      ],
      "id": "95c26500"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "488d16ab",
        "outputId": "05aa2944-d12c-4f3d-8ff8-3b316404d01f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        }
      },
      "source": [
        "events.get_stats()"
      ],
      "id": "488d16ab",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x504 with 2 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c3bf6397",
        "outputId": "a7794a1e-a13f-44b3-dd57-5515d669af9f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        }
      },
      "source": [
        "# Get list of all protein domais affected by AS.\n",
        "# A link to DIGGER database for lost/gained domain and their binding.\n",
        "\n",
        "events.get_domains()"
      ],
      "id": "c3bf6397",
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Gene name</th>\n",
              "      <th>NCBI gene ID</th>\n",
              "      <th>Gene stable ID</th>\n",
              "      <th>Exon stable ID</th>\n",
              "      <th>Pfam ID</th>\n",
              "      <th>dPSI</th>\n",
              "      <th>Interacting domain</th>\n",
              "      <th>Interaction type</th>\n",
              "      <th>Visualization link</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>GRIA1</td>\n",
              "      <td>2890</td>\n",
              "      <td>ENSG00000155511</td>\n",
              "      <td>ENSE00003466032</td>\n",
              "      <td>PF00060</td>\n",
              "      <td>0.518941</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003466032</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>PDE4DIP</td>\n",
              "      <td>9659</td>\n",
              "      <td>ENSG00000178104</td>\n",
              "      <td>ENSE00003718882</td>\n",
              "      <td>PF07989</td>\n",
              "      <td>0.410351</td>\n",
              "      <td>False</td>\n",
              "      <td>None</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>MYH10</td>\n",
              "      <td>4628</td>\n",
              "      <td>ENSG00000133026</td>\n",
              "      <td>ENSE00002227801</td>\n",
              "      <td>PF00063</td>\n",
              "      <td>0.401442</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002227801</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ATP2B1</td>\n",
              "      <td>490</td>\n",
              "      <td>ENSG00000070961</td>\n",
              "      <td>ENSE00000909422</td>\n",
              "      <td>PF12424</td>\n",
              "      <td>0.393826</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00000909422</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ATP2B1</td>\n",
              "      <td>490</td>\n",
              "      <td>ENSG00000070961</td>\n",
              "      <td>ENSE00000909422</td>\n",
              "      <td>PF00689</td>\n",
              "      <td>0.393826</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00000909422</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>BRAF</td>\n",
              "      <td>673</td>\n",
              "      <td>ENSG00000157764</td>\n",
              "      <td>ENSE00003527888</td>\n",
              "      <td>PF07714</td>\n",
              "      <td>0.390281</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003527888</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>SLC25A25</td>\n",
              "      <td>114789</td>\n",
              "      <td>ENSG00000148339</td>\n",
              "      <td>ENSE00003580484</td>\n",
              "      <td>PF13499</td>\n",
              "      <td>0.379921</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003580484</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>DMD</td>\n",
              "      <td>1756</td>\n",
              "      <td>ENSG00000198947</td>\n",
              "      <td>ENSE00003533177</td>\n",
              "      <td>PF00435</td>\n",
              "      <td>0.367859</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003533177</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>LRRFIP2</td>\n",
              "      <td>9209</td>\n",
              "      <td>ENSG00000093167</td>\n",
              "      <td>ENSE00000966409</td>\n",
              "      <td>PF09738</td>\n",
              "      <td>0.363962</td>\n",
              "      <td>False</td>\n",
              "      <td>None</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>ALDH3A2</td>\n",
              "      <td>224</td>\n",
              "      <td>ENSG00000072210</td>\n",
              "      <td>ENSE00003768857</td>\n",
              "      <td>PF00171</td>\n",
              "      <td>0.343445</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003768857</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>CCNDBP1</td>\n",
              "      <td>23582</td>\n",
              "      <td>ENSG00000166946</td>\n",
              "      <td>ENSE00003523679</td>\n",
              "      <td>PF13324</td>\n",
              "      <td>0.338615</td>\n",
              "      <td>False</td>\n",
              "      <td>None</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>LRRFIP1</td>\n",
              "      <td>9208</td>\n",
              "      <td>ENSG00000124831</td>\n",
              "      <td>ENSE00003625487</td>\n",
              "      <td>PF09738</td>\n",
              "      <td>0.321940</td>\n",
              "      <td>False</td>\n",
              "      <td>None</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>LRRC6</td>\n",
              "      <td>23639</td>\n",
              "      <td>ENSG00000129295</td>\n",
              "      <td>ENSE00003632220</td>\n",
              "      <td>PF14580</td>\n",
              "      <td>0.315093</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003632220</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>MAP2K4</td>\n",
              "      <td>6416</td>\n",
              "      <td>ENSG00000065559</td>\n",
              "      <td>ENSE00003710291</td>\n",
              "      <td>PF00069</td>\n",
              "      <td>0.314945</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI and DMI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003710291</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>GRIN1</td>\n",
              "      <td>2902</td>\n",
              "      <td>ENSG00000176884</td>\n",
              "      <td>ENSE00003548246</td>\n",
              "      <td>PF01094</td>\n",
              "      <td>0.308774</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003548246</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>GGT5</td>\n",
              "      <td>2687</td>\n",
              "      <td>ENSG00000099998</td>\n",
              "      <td>ENSE00001742378</td>\n",
              "      <td>PF01019</td>\n",
              "      <td>0.296911</td>\n",
              "      <td>False</td>\n",
              "      <td>None</td>\n",
              "      <td></td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>SYNE1</td>\n",
              "      <td>23345</td>\n",
              "      <td>ENSG00000131018</td>\n",
              "      <td>ENSE00003580914</td>\n",
              "      <td>PF00307</td>\n",
              "      <td>0.282537</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003580914</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>BTN2A1</td>\n",
              "      <td>11120</td>\n",
              "      <td>ENSG00000112763</td>\n",
              "      <td>ENSE00003677215</td>\n",
              "      <td>PF07686</td>\n",
              "      <td>0.276245</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003677215</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>SNRPA1</td>\n",
              "      <td>6627</td>\n",
              "      <td>ENSG00000131876</td>\n",
              "      <td>ENSE00003562637</td>\n",
              "      <td>PF14580</td>\n",
              "      <td>0.271745</td>\n",
              "      <td>True</td>\n",
              "      <td>DDI</td>\n",
              "      <td>https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003562637</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Gene name  ...                                       Visualization link\n",
              "0      GRIA1  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003466032\n",
              "1    PDE4DIP  ...                                                         \n",
              "2      MYH10  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00002227801\n",
              "3     ATP2B1  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00000909422\n",
              "4     ATP2B1  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00000909422\n",
              "5       BRAF  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003527888\n",
              "6   SLC25A25  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003580484\n",
              "7        DMD  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003533177\n",
              "8    LRRFIP2  ...                                                         \n",
              "9    ALDH3A2  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003768857\n",
              "10   CCNDBP1  ...                                                         \n",
              "11   LRRFIP1  ...                                                         \n",
              "12     LRRC6  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003632220\n",
              "13    MAP2K4  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003710291\n",
              "14     GRIN1  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003548246\n",
              "15      GGT5  ...                                                         \n",
              "16     SYNE1  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003580914\n",
              "17    BTN2A1  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003677215\n",
              "18    SNRPA1  ...  https://exbio.wzw.tum.de/digger/ID/exon/ENSE00003562637\n",
              "\n",
              "[19 rows x 9 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "e8c88d3d-57f7-4ac2-b7dd-d15469da69a7"
      },
      "source": [
        "events.get_edges().to_csv('MS.csv')"
      ],
      "id": "e8c88d3d-57f7-4ac2-b7dd-d15469da69a7",
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3ac7ceea-1e64-4a0b-ab35-0fe42d672905",
        "outputId": "f93b41fe-cb67-4860-8a64-b8cc0b5d392b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 80
        }
      },
      "source": [
        "# get the affected linear motifs\n",
        "events.get_elm()"
      ],
      "id": "3ac7ceea-1e64-4a0b-ab35-0fe42d672905",
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Gene name</th>\n",
              "      <th>entrezgene</th>\n",
              "      <th>Gene stable ID</th>\n",
              "      <th>ELMIdentifier</th>\n",
              "      <th>dPSI</th>\n",
              "      <th>ELM link</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ATP2B1</td>\n",
              "      <td>490</td>\n",
              "      <td>ENSG00000070961</td>\n",
              "      <td>TRG_DiLeu_BaLyEn_6</td>\n",
              "      <td>0.393826</td>\n",
              "      <td>http://elm.eu.org/elms/TRG_DiLeu_BaLyEn_6</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Gene name entrezgene  ...      dPSI                                   ELM link\n",
              "0    ATP2B1        490  ...  0.393826  http://elm.eu.org/elms/TRG_DiLeu_BaLyEn_6\n",
              "\n",
              "[1 rows x 6 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4da8e726-320a-473c-9fcf-06a92377f1a1",
        "outputId": "1e390eba-18ce-427c-d2dd-c453042ae753",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 235
        }
      },
      "source": [
        "# get interacting residues affected by AS\n",
        "events.get_pdb()"
      ],
      "id": "4da8e726-320a-473c-9fcf-06a92377f1a1",
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Gene name</th>\n",
              "      <th>NCBI gene ID</th>\n",
              "      <th>Gene stable ID</th>\n",
              "      <th>Co-resolved interactions symbol</th>\n",
              "      <th>Co-resolved interactions</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>LRRFIP1</td>\n",
              "      <td>9208</td>\n",
              "      <td>ENSG00000124831</td>\n",
              "      <td>LRRFIP1</td>\n",
              "      <td>9208</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ATP2B1</td>\n",
              "      <td>490</td>\n",
              "      <td>ENSG00000070961</td>\n",
              "      <td>CALM3,CALM1,CALM2,NPTN</td>\n",
              "      <td>808,801,805,27020</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>BRAF</td>\n",
              "      <td>673</td>\n",
              "      <td>ENSG00000157764</td>\n",
              "      <td>BRAF,MAP2K1</td>\n",
              "      <td>673,5604</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SNRPA1</td>\n",
              "      <td>6627</td>\n",
              "      <td>ENSG00000131876</td>\n",
              "      <td>SNRPB2</td>\n",
              "      <td>6629</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>MRPL48</td>\n",
              "      <td>51642</td>\n",
              "      <td>ENSG00000175581</td>\n",
              "      <td>MRPL38,MRPL27</td>\n",
              "      <td>64978,51264</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>GRIA1</td>\n",
              "      <td>2890</td>\n",
              "      <td>ENSG00000155511</td>\n",
              "      <td>GRIA2</td>\n",
              "      <td>2891</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Gene name  ... Co-resolved interactions\n",
              "0   LRRFIP1  ...                     9208\n",
              "1    ATP2B1  ...        808,801,805,27020\n",
              "2      BRAF  ...                 673,5604\n",
              "3    SNRPA1  ...                     6629\n",
              "4    MRPL48  ...              64978,51264\n",
              "5     GRIA1  ...                     2891\n",
              "\n",
              "[6 rows x 5 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "c59d0bda",
        "outputId": "ef95eb83-2de1-4555-f47a-8bd2e27ef383",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 537
        }
      },
      "source": [
        "# List of affected interactions (domain binding)\n",
        "\n",
        "events.get_edges()"
      ],
      "id": "c59d0bda",
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Gene name</th>\n",
              "      <th>NCBI gene ID</th>\n",
              "      <th>Identifier</th>\n",
              "      <th>dPSI</th>\n",
              "      <th>Number of affected interactions</th>\n",
              "      <th>Affected binding</th>\n",
              "      <th>Affected binding (NCBI)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>BRAF</td>\n",
              "      <td>673</td>\n",
              "      <td>PF07714</td>\n",
              "      <td>0.390281</td>\n",
              "      <td>31</td>\n",
              "      <td>MAP2K1,LATS2,AURKA,RAP1B,KSR1,AKT1,MAPK1,STK11,IGF1R,MRAS,LIMK1,MAPK3,PAK2,MAP2K3,PRKCE,BRAF,RPS6KB2,MAP2K2,HRAS,EGFR,ARAF,RAF1,NRAS,KRAS,RAP1A,MAP2K6,RAB1A,FGFR2,MAP2K7,IQGAP1,FKBP5</td>\n",
              "      <td>5604,26524,6790,8844,207,5594,6794,3480,22808,3984,5595,5062,5606,5581,673,6199,8826,5605,3265,1956,369,5894,4893,3845,5906,5608,5861,2263,5609,5908,2289</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>MAP2K4</td>\n",
              "      <td>6416</td>\n",
              "      <td>PF00069</td>\n",
              "      <td>0.314945</td>\n",
              "      <td>29</td>\n",
              "      <td>JUN,MAP3K11,MAP3K8,BLNK,NPHS1,LRRK2,MAP3K2,MAP3K7,PLEKHA4,AKT1,MAPK1,MAPK10,NBR1,MAP3K5,MAP3K3,ITCH,MAP3K10,MAP4K2,UBC,EGFR,MAP3K4,MAP2K6,MAP2K4,MAPK9,MAP2K7,MAPK14,MAP3K1,GEMIN5,MAPK8</td>\n",
              "      <td>3725,4296,29760,1326,4868,120892,10746,6885,57664,207,5594,5602,4077,4217,4215,83737,4294,5871,7316,1956,4216,5608,6416,5601,5609,1432,4214,25929,5599</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>SNRPA1</td>\n",
              "      <td>6627</td>\n",
              "      <td>PF14580</td>\n",
              "      <td>0.271745</td>\n",
              "      <td>28</td>\n",
              "      <td>SNRPB2,SNRPD2,SNRPN,SNRPD1,SFPQ,LSM2,SNRPF,SNRPG,PPIE,SF3B4,SRSF7,SF3B6,RBM14,HNRNPM,SNRNP70,SNRPE,SNRPB,U2AF2,SNRPA,U2AF1,SNRPD3,SSB,SRSF1,TAF15,LARP7,SYNCRIP,TARDBP,HTATSF1</td>\n",
              "      <td>6629,6633,6638,6632,6421,57819,6636,6637,10450,10262,6432,51639,10432,4670,6625,6635,6628,11338,6626,7307,6634,6741,6426,8148,51574,10492,23435,27336</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>MYH10</td>\n",
              "      <td>4628</td>\n",
              "      <td>PF00063</td>\n",
              "      <td>0.401442</td>\n",
              "      <td>19</td>\n",
              "      <td>CYLD,IKBKE,MYH9,WDR77,CDK2,GRK5,ACTC1,CDK9,MYO1C,PAK2,UBASH3B,USP45,MARK4,MCC,MYL6,MYO19,IQGAP1,ACTA2,EED</td>\n",
              "      <td>1540,9641,4627,79084,1017,2869,70,1025,4641,5062,84959,85015,57787,4163,4637,80179,8826,59,8726</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>GRIA1</td>\n",
              "      <td>2890</td>\n",
              "      <td>PF00060</td>\n",
              "      <td>0.518941</td>\n",
              "      <td>9</td>\n",
              "      <td>GRIP1,GRID2,SDCBP,GRIK2,PICK1,GRIA4,DLG1,GRIA2,CACNG2</td>\n",
              "      <td>23426,2895,6386,2898,9463,2893,1739,2891,10369</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>BTN2A1</td>\n",
              "      <td>11120</td>\n",
              "      <td>PF07686</td>\n",
              "      <td>0.276245</td>\n",
              "      <td>9</td>\n",
              "      <td>SLC25A30,SLC25A14,POTEF,CD1B,HLA,TMX4,PDZD8,BTN2A2,PIK3R3</td>\n",
              "      <td>253512,9016,728378,910,3113,56255,118987,10385,8503</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>DMD</td>\n",
              "      <td>1756</td>\n",
              "      <td>PF00435</td>\n",
              "      <td>0.367859</td>\n",
              "      <td>8</td>\n",
              "      <td>PLEKHA4,MAP3K5,NEDD4,UTRN,MARK2,PAK5,SNTA1,SNTB1</td>\n",
              "      <td>57664,6641,4734,7402,2011,57144,6640,4217</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>GRIN1</td>\n",
              "      <td>2902</td>\n",
              "      <td>PF01094</td>\n",
              "      <td>0.308774</td>\n",
              "      <td>6</td>\n",
              "      <td>CAMK2G,GRIN2B,GRIN3A,GRIN2A,PRKCA,GRIN3B</td>\n",
              "      <td>818,2904,116443,2903,5578,116444</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>SYNE1</td>\n",
              "      <td>23345</td>\n",
              "      <td>PF00307</td>\n",
              "      <td>0.282537</td>\n",
              "      <td>4</td>\n",
              "      <td>PPEF1,MUSK,NTRK1,SYNE1</td>\n",
              "      <td>4914,4593,5475,23345</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>SLC25A25</td>\n",
              "      <td>114789</td>\n",
              "      <td>PF13499</td>\n",
              "      <td>0.379921</td>\n",
              "      <td>3</td>\n",
              "      <td>STK38L,CD79B,SLC25A23</td>\n",
              "      <td>23012,974,79085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>ATP2B1</td>\n",
              "      <td>490</td>\n",
              "      <td>PF12424</td>\n",
              "      <td>0.393826</td>\n",
              "      <td>1</td>\n",
              "      <td>CALM1</td>\n",
              "      <td>801</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>ATP2B1</td>\n",
              "      <td>490</td>\n",
              "      <td>PF00689</td>\n",
              "      <td>0.393826</td>\n",
              "      <td>1</td>\n",
              "      <td>ATP1A1</td>\n",
              "      <td>476</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>ALDH3A2</td>\n",
              "      <td>224</td>\n",
              "      <td>PF00171</td>\n",
              "      <td>0.343445</td>\n",
              "      <td>1</td>\n",
              "      <td>ALDH3A1</td>\n",
              "      <td>218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>LRRC6</td>\n",
              "      <td>23639</td>\n",
              "      <td>PF14580</td>\n",
              "      <td>0.315093</td>\n",
              "      <td>1</td>\n",
              "      <td>PPP1R7</td>\n",
              "      <td>5510</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Gene name  ...                                                                                                                                    Affected binding (NCBI)\n",
              "0       BRAF  ...  5604,26524,6790,8844,207,5594,6794,3480,22808,3984,5595,5062,5606,5581,673,6199,8826,5605,3265,1956,369,5894,4893,3845,5906,5608,5861,2263,5609,5908,2289\n",
              "1     MAP2K4  ...     3725,4296,29760,1326,4868,120892,10746,6885,57664,207,5594,5602,4077,4217,4215,83737,4294,5871,7316,1956,4216,5608,6416,5601,5609,1432,4214,25929,5599\n",
              "2     SNRPA1  ...      6629,6633,6638,6632,6421,57819,6636,6637,10450,10262,6432,51639,10432,4670,6625,6635,6628,11338,6626,7307,6634,6741,6426,8148,51574,10492,23435,27336\n",
              "3      MYH10  ...                                                            1540,9641,4627,79084,1017,2869,70,1025,4641,5062,84959,85015,57787,4163,4637,80179,8826,59,8726\n",
              "4      GRIA1  ...                                                                                                             23426,2895,6386,2898,9463,2893,1739,2891,10369\n",
              "5     BTN2A1  ...                                                                                                        253512,9016,728378,910,3113,56255,118987,10385,8503\n",
              "6        DMD  ...                                                                                                                  57664,6641,4734,7402,2011,57144,6640,4217\n",
              "7      GRIN1  ...                                                                                                                           818,2904,116443,2903,5578,116444\n",
              "8      SYNE1  ...                                                                                                                                       4914,4593,5475,23345\n",
              "9   SLC25A25  ...                                                                                                                                            23012,974,79085\n",
              "10    ATP2B1  ...                                                                                                                                                        801\n",
              "11    ATP2B1  ...                                                                                                                                                        476\n",
              "12   ALDH3A2  ...                                                                                                                                                        218\n",
              "13     LRRC6  ...                                                                                                                                                       5510\n",
              "\n",
              "[14 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "37c0f0c8"
      },
      "source": [
        "### NEASE edge enrichment "
      ],
      "id": "37c0f0c8"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "f37b1bfb-42c5-4c0e-882e-7742de2d9da9",
        "outputId": "b01daade-99b3-4306-cdc2-38704f7e44c6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 427
        }
      },
      "source": [
        "# Run nease enrichment on affected edges\n",
        "nease_enr=events.enrich(database=['KEGG'])\n",
        "nease_enr.head(10)"
      ],
      "id": "f37b1bfb-42c5-4c0e-882e-7742de2d9da9",
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "NEASE enrichment for the pathway databases:\n",
            " ['KEGG']\n",
            "Found 118 enriched pathways after multiple testing correction.\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Pathway ID</th>\n",
              "      <th>Pathway name</th>\n",
              "      <th>Source</th>\n",
              "      <th>Spliced genes (number of interactions affecting the pathway)</th>\n",
              "      <th>p_value</th>\n",
              "      <th>adj p_value</th>\n",
              "      <th>Nease score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>path:hsa04912</td>\n",
              "      <td>GnRH signaling pathway - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>ATP2B1 (3), BRAF (12), MAP2K4 (14), GRIN1 (2)</td>\n",
              "      <td>5.440544e-16</td>\n",
              "      <td>8.704871e-14</td>\n",
              "      <td>30.528715</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>path:hsa04024</td>\n",
              "      <td>cAMP signaling pathway - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>GRIA1 (2), ATP2B1 (4), BRAF (9), MAP2K4 (6), GRIN1 (5), BTN2A1 (1)</td>\n",
              "      <td>6.456673e-12</td>\n",
              "      <td>6.887118e-10</td>\n",
              "      <td>25.021581</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>path:hsa04010</td>\n",
              "      <td>MAPK signaling pathway - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>GRIA1 (1), MYH10 (1), BRAF (21), DMD (1), MAP2K4 (20), GRIN1 (1), SYNE1 (1)</td>\n",
              "      <td>7.178777e-17</td>\n",
              "      <td>2.297209e-14</td>\n",
              "      <td>22.830992</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>path:hsa04014</td>\n",
              "      <td>Ras signaling pathway - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>MYH10 (1), ATP2B1 (3), BRAF (17), DMD (1), MAP2K4 (6), GRIN1 (3), SYNE1 (1), BTN2A1 (1)</td>\n",
              "      <td>4.847437e-11</td>\n",
              "      <td>3.102360e-09</td>\n",
              "      <td>20.628976</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>path:hsa04015</td>\n",
              "      <td>Rap1 signaling pathway - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>ATP2B1 (3), BRAF (18), MAP2K4 (5), GRIN1 (3), BTN2A1 (1)</td>\n",
              "      <td>1.664812e-10</td>\n",
              "      <td>5.919332e-09</td>\n",
              "      <td>19.557270</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>path:hsa04722</td>\n",
              "      <td>Neurotrophin signaling pathway - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>ATP2B1 (3), BRAF (13), DMD (1), MAP2K4 (11), GRIN1 (1), SYNE1 (1), BTN2A1 (1)</td>\n",
              "      <td>8.337081e-11</td>\n",
              "      <td>3.585449e-09</td>\n",
              "      <td>17.457316</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>path:hsa04012</td>\n",
              "      <td>ErbB signaling pathway - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>MYH10 (1), BRAF (15), DMD (1), MAP2K4 (9), GRIN1 (2), BTN2A1 (1)</td>\n",
              "      <td>8.865283e-11</td>\n",
              "      <td>3.585449e-09</td>\n",
              "      <td>17.411107</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>path:hsa04720</td>\n",
              "      <td>Long-term potentiation - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>GRIA1 (1), ATP2B1 (3), BRAF (12), MAP2K4 (1), GRIN1 (4)</td>\n",
              "      <td>6.695882e-10</td>\n",
              "      <td>1.947893e-08</td>\n",
              "      <td>15.890167</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>path:hsa05170</td>\n",
              "      <td>Human immunodeficiency virus 1 infection - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>MYH10 (1), ATP2B1 (3), BRAF (15), DMD (1), MAP2K4 (10), GRIN1 (1), BTN2A1 (1)</td>\n",
              "      <td>1.878367e-09</td>\n",
              "      <td>5.008979e-08</td>\n",
              "      <td>15.114256</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>path:hsa04620</td>\n",
              "      <td>Toll-like receptor signaling pathway - Homo sapiens (human)</td>\n",
              "      <td>KEGG</td>\n",
              "      <td>MYH10 (1), BRAF (8), MAP2K4 (12), BTN2A1 (1)</td>\n",
              "      <td>3.340314e-11</td>\n",
              "      <td>2.672251e-09</td>\n",
              "      <td>14.815602</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "      Pathway ID  ... Nease score\n",
              "0  path:hsa04912  ...   30.528715\n",
              "1  path:hsa04024  ...   25.021581\n",
              "2  path:hsa04010  ...   22.830992\n",
              "3  path:hsa04014  ...   20.628976\n",
              "4  path:hsa04015  ...   19.557270\n",
              "5  path:hsa04722  ...   17.457316\n",
              "6  path:hsa04012  ...   17.411107\n",
              "7  path:hsa04720  ...   15.890167\n",
              "8  path:hsa05170  ...   15.114256\n",
              "9  path:hsa04620  ...   14.815602\n",
              "\n",
              "[10 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4a5c931c",
        "outputId": "f9f2b202-b05d-4e6b-f244-0234fb114af9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 737
        }
      },
      "source": [
        "# Run nease enrichment on affected edges\n",
        "nease_enr=events.enrich(database=['Reactome'])\n",
        "nease_enr.head(20)"
      ],
      "id": "4a5c931c",
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "NEASE enrichment for the pathway databases:\n",
            " ['Reactome']\n",
            "Found 69 enriched pathways after multiple testing correction.\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
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              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Pathway ID</th>\n",
              "      <th>Pathway name</th>\n",
              "      <th>Source</th>\n",
              "      <th>Spliced genes (number of interactions affecting the pathway)</th>\n",
              "      <th>p_value</th>\n",
              "      <th>adj p_value</th>\n",
              "      <th>Nease score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>R-HSA-112314</td>\n",
              "      <td>Neurotransmitter receptors and postsynaptic signal transmission</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>GRIA1 (7), ATP2B1 (2), BRAF (4), MAP2K4 (1), GRIN1 (4)</td>\n",
              "      <td>4.388765e-09</td>\n",
              "      <td>0.000004</td>\n",
              "      <td>16.715315</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>R-HSA-5210891</td>\n",
              "      <td>Uptake and function of anthrax toxins</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>ATP2B1 (1), BRAF (5), MAP2K4 (3)</td>\n",
              "      <td>2.984146e-09</td>\n",
              "      <td>0.000004</td>\n",
              "      <td>14.766045</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>R-HSA-112315</td>\n",
              "      <td>Transmission across Chemical Synapses</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>GRIA1 (7), ATP2B1 (2), BRAF (4), MAP2K4 (1), GRIN1 (4)</td>\n",
              "      <td>5.657870e-08</td>\n",
              "      <td>0.000010</td>\n",
              "      <td>14.494694</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>R-HSA-5339562</td>\n",
              "      <td>Uptake and actions of bacterial toxins</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>ATP2B1 (1), BRAF (5), MAP2K4 (3)</td>\n",
              "      <td>3.466487e-08</td>\n",
              "      <td>0.000009</td>\n",
              "      <td>12.921290</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>R-HSA-112316</td>\n",
              "      <td>Neuronal System</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>GRIA1 (7), ATP2B1 (2), BRAF (4), MAP2K4 (1), GRIN1 (4)</td>\n",
              "      <td>8.712595e-07</td>\n",
              "      <td>0.000118</td>\n",
              "      <td>12.119705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>R-HSA-5683057</td>\n",
              "      <td>MAPK family signaling cascades</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (2), ATP2B1 (1), BRAF (17), MAP2K4 (5), GRIN1 (3)</td>\n",
              "      <td>1.523614e-06</td>\n",
              "      <td>0.000178</td>\n",
              "      <td>10.075556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>R-HSA-442755</td>\n",
              "      <td>Activation of NMDA receptor and postsynaptic events</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>GRIA1 (2), ATP2B1 (1), BRAF (4), MAP2K4 (1), GRIN1 (3)</td>\n",
              "      <td>2.124721e-06</td>\n",
              "      <td>0.000233</td>\n",
              "      <td>9.825401</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>R-HSA-2871796</td>\n",
              "      <td>FCERI mediated MAPK activation</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (1), BRAF (7), MAP2K4 (8)</td>\n",
              "      <td>2.523181e-07</td>\n",
              "      <td>0.000037</td>\n",
              "      <td>9.331054</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>R-HSA-5673001</td>\n",
              "      <td>RAF/MAP kinase cascade</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (1), ATP2B1 (1), BRAF (16), MAP2K4 (4), GRIN1 (3)</td>\n",
              "      <td>1.002653e-06</td>\n",
              "      <td>0.000126</td>\n",
              "      <td>8.483654</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>R-HSA-6802946</td>\n",
              "      <td>Signaling by moderate kinase activity BRAF mutants</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (1), BRAF (14), MAP2K4 (2)</td>\n",
              "      <td>8.303245e-09</td>\n",
              "      <td>0.000004</td>\n",
              "      <td>8.080752</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>R-HSA-6802955</td>\n",
              "      <td>Paradoxical activation of RAF signaling by kinase inactive BRAF</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (1), BRAF (14), MAP2K4 (2)</td>\n",
              "      <td>8.303245e-09</td>\n",
              "      <td>0.000004</td>\n",
              "      <td>8.080752</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>R-HSA-5684996</td>\n",
              "      <td>MAPK1/MAPK3 signaling</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (1), ATP2B1 (1), BRAF (16), MAP2K4 (4), GRIN1 (3)</td>\n",
              "      <td>2.315720e-06</td>\n",
              "      <td>0.000239</td>\n",
              "      <td>7.969538</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>R-HSA-2454202</td>\n",
              "      <td>Fc epsilon receptor (FCERI) signaling</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (1), ATP2B1 (1), BRAF (7), MAP2K4 (9)</td>\n",
              "      <td>2.728859e-06</td>\n",
              "      <td>0.000266</td>\n",
              "      <td>7.868711</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>R-HSA-442742</td>\n",
              "      <td>CREB phosphorylation through the activation of Ras</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>ATP2B1 (1), BRAF (4), MAP2K4 (1), GRIN1 (3)</td>\n",
              "      <td>2.951087e-05</td>\n",
              "      <td>0.001294</td>\n",
              "      <td>7.846221</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>R-HSA-6802957</td>\n",
              "      <td>Oncogenic MAPK signaling</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (1), BRAF (14), MAP2K4 (2)</td>\n",
              "      <td>2.225162e-08</td>\n",
              "      <td>0.000008</td>\n",
              "      <td>7.652638</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>R-HSA-399721</td>\n",
              "      <td>Glutamate binding, activation of AMPA receptors and synaptic plasticity</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>GRIA1 (6), GRIN1 (2)</td>\n",
              "      <td>4.345866e-06</td>\n",
              "      <td>0.000363</td>\n",
              "      <td>7.582905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>R-HSA-399719</td>\n",
              "      <td>Trafficking of AMPA receptors</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>GRIA1 (6), GRIN1 (2)</td>\n",
              "      <td>4.345866e-06</td>\n",
              "      <td>0.000363</td>\n",
              "      <td>7.582905</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>R-HSA-6802948</td>\n",
              "      <td>Signaling by high-kinase activity BRAF mutants</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>MYH10 (1), BRAF (14), MAP2K4 (1)</td>\n",
              "      <td>2.929904e-08</td>\n",
              "      <td>0.000009</td>\n",
              "      <td>7.533147</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>R-HSA-448424</td>\n",
              "      <td>Interleukin-17 signaling</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>BRAF (6), MAP2K4 (12)</td>\n",
              "      <td>5.039005e-06</td>\n",
              "      <td>0.000372</td>\n",
              "      <td>7.492016</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>R-HSA-450294</td>\n",
              "      <td>MAP kinase activation</td>\n",
              "      <td>Reactome</td>\n",
              "      <td>BRAF (6), MAP2K4 (12)</td>\n",
              "      <td>5.039005e-06</td>\n",
              "      <td>0.000372</td>\n",
              "      <td>7.492016</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       Pathway ID  ... Nease score\n",
              "0    R-HSA-112314  ...   16.715315\n",
              "1   R-HSA-5210891  ...   14.766045\n",
              "2    R-HSA-112315  ...   14.494694\n",
              "3   R-HSA-5339562  ...   12.921290\n",
              "4    R-HSA-112316  ...   12.119705\n",
              "5   R-HSA-5683057  ...   10.075556\n",
              "6    R-HSA-442755  ...    9.825401\n",
              "7   R-HSA-2871796  ...    9.331054\n",
              "8   R-HSA-5673001  ...    8.483654\n",
              "9   R-HSA-6802946  ...    8.080752\n",
              "10  R-HSA-6802955  ...    8.080752\n",
              "11  R-HSA-5684996  ...    7.969538\n",
              "12  R-HSA-2454202  ...    7.868711\n",
              "13   R-HSA-442742  ...    7.846221\n",
              "14  R-HSA-6802957  ...    7.652638\n",
              "15   R-HSA-399721  ...    7.582905\n",
              "16   R-HSA-399719  ...    7.582905\n",
              "17  R-HSA-6802948  ...    7.533147\n",
              "18   R-HSA-448424  ...    7.492016\n",
              "19   R-HSA-450294  ...    7.492016\n",
              "\n",
              "[20 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "edda3c3a-0bcd-4d26-a342-5848ced39cb5",
        "outputId": "49321964-1e21-455c-e8ce-13ad5a0a5648",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        }
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "Term = enr['Term'][:8]\n",
        "Term = [x.split('Homo')[0] for x in Term]\n",
        "Pvalues =enr['Adjusted P-value'][:8]\n",
        "Pvalues=[ -np.log10(x) for x in Pvalues]\n",
        "plt.style.use('ggplot')\n",
        "\n",
        "plt.barh(Term[::-1],Pvalues[::-1] )\n",
        "plt.title('Classic gene set enrichment')\n",
        "plt.ylabel('Terms')\n",
        "plt.xlabel('-log10(Adjusted P-value)')\n",
        "#plt.savefig('AS data/Platelet/classic_enr',format='pdf',bbox_inches='tight')\n",
        "\n",
        "plt.show()"
      ],
      "id": "edda3c3a-0bcd-4d26-a342-5848ced39cb5",
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5bb8cae9-2bda-42fc-8f65-5d8e4e51b679",
        "outputId": "e717877d-a474-468d-d375-8d45cce09951",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        }
      },
      "source": [
        "nease_enr=nease_enr.sort_values(by='Nease score',ascending=False)\n",
        "Term = nease_enr['Pathway name'][:8]\n",
        "Pvalues =nease_enr['adj p_value'][:8]\n",
        "Pvalues=[ -np.log10(x) for x in Pvalues]\n",
        "\n",
        "plt.barh(Term[::-1],Pvalues[::-1] )\n",
        "plt.title('NEASE enrichment')\n",
        "plt.ylabel('Terms')\n",
        "plt.xlabel('-log10(Adjusted P-value)')\n",
        "#plt.savefig('AS data/Platelet/nease_enr',format='pdf',bbox_inches='tight')\n",
        "plt.show()"
      ],
      "id": "5bb8cae9-2bda-42fc-8f65-5d8e4e51b679",
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "32c3891a"
      },
      "source": [
        "### Pathway specific analysis"
      ],
      "id": "32c3891a"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d86e3e53",
        "outputId": "15a8a420-148a-41a1-c9b9-b80a54b08446",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 289
        }
      },
      "source": [
        "events.path_analysis('R-HSA-112314')"
      ],
      "id": "d86e3e53",
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enrichment of the pathway: Neurotransmitter receptors and postsynaptic signal transmission.\n",
            "\n",
            "Overall p_value:  4.3887649017364704e-09\n",
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Spliced genes</th>\n",
              "      <th>NCBI gene ID</th>\n",
              "      <th>Gene is known to be in the pathway</th>\n",
              "      <th>Percentage of edges associated to the pathway</th>\n",
              "      <th>p_value</th>\n",
              "      <th>Affected binding (edges)</th>\n",
              "      <th>Affected binding (NCBI)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>GRIA1</td>\n",
              "      <td>2890</td>\n",
              "      <td>True</td>\n",
              "      <td>7/9</td>\n",
              "      <td>5.200573e-11</td>\n",
              "      <td>GRIP1,GRIK2,PICK1,GRIA4,DLG1,GRIA2,CACNG2</td>\n",
              "      <td>23426,2898,9463,2893,1739,2891,10369</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>GRIN1</td>\n",
              "      <td>2902</td>\n",
              "      <td>True</td>\n",
              "      <td>4/6</td>\n",
              "      <td>2.546229e-06</td>\n",
              "      <td>CAMK2G,GRIN2B,GRIN2A,PRKCA</td>\n",
              "      <td>818,2904,2903,5578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>BRAF</td>\n",
              "      <td>673</td>\n",
              "      <td>True</td>\n",
              "      <td>4/31</td>\n",
              "      <td>3.551109e-03</td>\n",
              "      <td>MAPK1,BRAF,HRAS,RAF1</td>\n",
              "      <td>5594,673,3265,5894</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ATP2B1</td>\n",
              "      <td>490</td>\n",
              "      <td>False</td>\n",
              "      <td>2/5</td>\n",
              "      <td>4.022942e-03</td>\n",
              "      <td>NPTN,CALM1</td>\n",
              "      <td>27020,801</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>MAP2K4</td>\n",
              "      <td>6416</td>\n",
              "      <td>False</td>\n",
              "      <td>1/29</td>\n",
              "      <td>4.512438e-01</td>\n",
              "      <td>MAPK1</td>\n",
              "      <td>5594</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Spliced genes  ...               Affected binding (NCBI)\n",
              "0         GRIA1  ...  23426,2898,9463,2893,1739,2891,10369\n",
              "1         GRIN1  ...                    818,2904,2903,5578\n",
              "2          BRAF  ...                    5594,673,3265,5894\n",
              "3        ATP2B1  ...                             27020,801\n",
              "4        MAP2K4  ...                                  5594\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7037d024-9950-4b87-8186-4282e3c50b78",
        "outputId": "17b794d9-9a06-4d23-83c7-58d11b5be3d9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "events.path_analysis('R-HSA-112314').to_csv('ms.csv')"
      ],
      "id": "7037d024-9950-4b87-8186-4282e3c50b78",
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enrichment of the pathway: Neurotransmitter receptors and postsynaptic signal transmission.\n",
            "\n",
            "Overall p_value:  4.3887649017364704e-09\n",
            "\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "a51fba55",
        "outputId": "7123148d-5fd0-4105-dce6-8b0a22074dfb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        }
      },
      "source": [
        "events.path_analysis('R-HSA-5683057')"
      ],
      "id": "a51fba55",
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enrichment of the pathway: MAPK family signaling cascades.\n",
            "\n",
            "Overall p_value:  1.5236135503920961e-06\n",
            "\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe tbody tr th {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Spliced genes</th>\n",
              "      <th>NCBI gene ID</th>\n",
              "      <th>Gene is known to be in the pathway</th>\n",
              "      <th>Percentage of edges associated to the pathway</th>\n",
              "      <th>p_value</th>\n",
              "      <th>Affected binding (edges)</th>\n",
              "      <th>Affected binding (NCBI)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>BRAF</td>\n",
              "      <td>673</td>\n",
              "      <td>True</td>\n",
              "      <td>17/31</td>\n",
              "      <td>1.055750e-12</td>\n",
              "      <td>MAP2K1,KSR1,MAPK1,MAPK3,PAK2,BRAF,IQGAP1,MAP2K2,HRAS,EGFR,ARAF,RAF1,NRAS,KRAS,RAP1A,FGFR2,RAP1B</td>\n",
              "      <td>5604,8844,5594,5595,5062,673,8826,5605,3265,1956,369,5894,4893,3845,5906,2263,5908</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>GRIN1</td>\n",
              "      <td>2902</td>\n",
              "      <td>True</td>\n",
              "      <td>3/6</td>\n",
              "      <td>5.070679e-03</td>\n",
              "      <td>CAMK2G,GRIN2B,GRIN2A</td>\n",
              "      <td>818,2904,2903</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>MAP2K4</td>\n",
              "      <td>6416</td>\n",
              "      <td>False</td>\n",
              "      <td>5/29</td>\n",
              "      <td>4.072469e-02</td>\n",
              "      <td>JUN,MAP3K11,MAPK1,UBC,EGFR</td>\n",
              "      <td>3725,4296,5594,7316,1956</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>ATP2B1</td>\n",
              "      <td>490</td>\n",
              "      <td>False</td>\n",
              "      <td>1/5</td>\n",
              "      <td>2.915591e-01</td>\n",
              "      <td>CALM1</td>\n",
              "      <td>801</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>MYH10</td>\n",
              "      <td>4628</td>\n",
              "      <td>False</td>\n",
              "      <td>2/19</td>\n",
              "      <td>3.641801e-01</td>\n",
              "      <td>PAK2,IQGAP1</td>\n",
              "      <td>5062,8826</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Spliced genes  ...                                                             Affected binding (NCBI)\n",
              "0          BRAF  ...  5604,8844,5594,5595,5062,673,8826,5605,3265,1956,369,5894,4893,3845,5906,2263,5908\n",
              "1         GRIN1  ...                                                                       818,2904,2903\n",
              "2        MAP2K4  ...                                                            3725,4296,5594,7316,1956\n",
              "3        ATP2B1  ...                                                                                 801\n",
              "4         MYH10  ...                                                                           5062,8826\n",
              "\n",
              "[5 rows x 7 columns]"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ae7a48f3"
      },
      "source": [
        "### Visualization"
      ],
      "id": "ae7a48f3"
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "51106892",
        "outputId": "825c6933-e986-45b5-9a69-fe900589527f",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "events.Vis_path(\"R-HSA-5674135\",file='AS data',k=0.8)"
      ],
      "id": "51106892",
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enrichment of the pathway: MAP2K and MAPK activation.\n",
            "\n",
            "Overall p_value:  4.351950286464467e-08\n",
            "\n",
            "\n",
            "Visualization of the pathway generated in: MAP2K and MAPK activation.html\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2ad61b14",
        "outputId": "091c03e8-2173-40a5-9d85-8ca264f2f4a9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "events.Vis_path(\"R-HSA-112314\",file='AS data',k=0.8)"
      ],
      "id": "2ad61b14",
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Enrichment of the pathway: Neurotransmitter receptors and postsynaptic signal transmission.\n",
            "\n",
            "Overall p_value:  4.3887649017364704e-09\n",
            "\n",
            "\n",
            "Visualization of the pathway generated in: Neurotransmitter receptors and postsynaptic signal transmission.html\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AlLmMEbgynWY"
      },
      "source": [
        ""
      ],
      "id": "AlLmMEbgynWY",
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2W6bhETiytl4"
      },
      "source": [
        ""
      ],
      "id": "2W6bhETiytl4",
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vNUsfjUnywRI"
      },
      "source": [
        ""
      ],
      "id": "vNUsfjUnywRI",
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "20b6f530-f11f-493d-80bb-a86e65b650b2"
      },
      "source": [
        ""
      ],
      "id": "20b6f530-f11f-493d-80bb-a86e65b650b2",
      "execution_count": 20,
      "outputs": []
    }
  ]
}