Tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "code",
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    {
     "name": "stderr",
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     "text": [
      "/home/sclens/miniconda3/envs/sclens/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
      "  from .autonotebook import tqdm as notebook_tqdm\n",
      "/home/sclens/miniconda3/envs/sclens/lib/python3.11/site-packages/dask/dataframe/__init__.py:31: FutureWarning: \n",
      "Dask dataframe query planning is disabled because dask-expr is not installed.\n",
      "\n",
      "You can install it with `pip install dask[dataframe]` or `conda install dask`.\n",
      "This will raise in a future version.\n",
      "\n",
      "  warnings.warn(msg, FutureWarning)\n",
      "/home/sclens/miniconda3/envs/sclens/lib/python3.11/site-packages/numba/np/ufunc/dufunc.py:343: NumbaWarning: Compilation requested for previously compiled argument types ((uint32,)). This has no effect and perhaps indicates a bug in the calling code (compiling a ufunc more than once for the same signature\n",
      "  warnings.warn(msg, errors.NumbaWarning)\n",
      "/home/sclens/miniconda3/envs/sclens/lib/python3.11/site-packages/numba/np/ufunc/dufunc.py:343: NumbaWarning: Compilation requested for previously compiled argument types ((uint32,)). This has no effect and perhaps indicates a bug in the calling code (compiling a ufunc more than once for the same signature\n",
      "  warnings.warn(msg, errors.NumbaWarning)\n",
      "/home/sclens/miniconda3/envs/sclens/lib/python3.11/site-packages/numba/np/ufunc/dufunc.py:343: NumbaWarning: Compilation requested for previously compiled argument types ((uint32,)). This has no effect and perhaps indicates a bug in the calling code (compiling a ufunc more than once for the same signature\n",
      "  warnings.warn(msg, errors.NumbaWarning)\n"
     ]
    }
   ],
   "source": [
    "from scLENS import scLENS\n",
    "import pandas as pd\n",
    "import torch\n",
    "import umap\n",
    "import umap.plot"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the data to be used"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "         cell  ENSG00000237683  Unknown  LINC01409  LINC00115  NOC2L  KLHL17  \\\n",
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       "...       ...              ...      ...        ...        ...    ...     ...   \n",
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       "\n",
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       "\n",
       "      ENSG00000215781  ENSG00000220023  ENSG00000212884  ENSG00000215615  \\\n",
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       "\n",
       "[3994 rows x 15717 columns]"
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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('data/Z8eq.csv.gz')\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_true = df['cell']\n",
    "df = df.drop('cell', axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "scLENS enables GPU computation, implemented through pyTorch. Device can be specified in initiation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')\n",
    "sclens = scLENS(device=device)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data can be fed into the scLENS object in two ways: either through the preprocess() function, which preprocesses the data and saves the clean data; or feed it into the fit() or fit_transform() function, in which case the data will not be preprocessed\n",
    "\n",
    "The preprocess() function does the following in order:\n",
    "1) Remove cells expressing less than *min_genes_per_cell* genes, and genes expressed in less than *min_cells_per_gene* cells\n",
    "2) L1 normalize along each cell\n",
    "3) Log scale the data\n",
    "4) Z-score normalization along each gene\n",
    "5) L2 normalize along each cell"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 737 ms, sys: 841 ms, total: 1.58 s\n",
      "Wall time: 905 ms\n"
     ]
    },
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       "      <th>9646</th>\n",
       "      <th>9647</th>\n",
       "      <th>9648</th>\n",
       "      <th>9649</th>\n",
       "      <th>9650</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.036398</td>\n",
       "      <td>-0.043885</td>\n",
       "      <td>-0.195706</td>\n",
       "      <td>-0.033593</td>\n",
       "      <td>-0.354878</td>\n",
       "      <td>-0.048854</td>\n",
       "      <td>-0.143164</td>\n",
       "      <td>-0.181292</td>\n",
       "      <td>-0.278044</td>\n",
       "      <td>-0.082265</td>\n",
       "      <td>...</td>\n",
       "      <td>0.252271</td>\n",
       "      <td>-0.417474</td>\n",
       "      <td>-0.174547</td>\n",
       "      <td>-1.153338</td>\n",
       "      <td>0.692359</td>\n",
       "      <td>-0.100605</td>\n",
       "      <td>-0.012338</td>\n",
       "      <td>-0.064846</td>\n",
       "      <td>-0.130811</td>\n",
       "      <td>-0.132296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.021892</td>\n",
       "      <td>-0.029040</td>\n",
       "      <td>-0.173976</td>\n",
       "      <td>-0.019214</td>\n",
       "      <td>-0.325930</td>\n",
       "      <td>-0.033783</td>\n",
       "      <td>-0.123816</td>\n",
       "      <td>-0.160216</td>\n",
       "      <td>-0.252580</td>\n",
       "      <td>-0.065679</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.253483</td>\n",
       "      <td>-0.385686</td>\n",
       "      <td>-0.153776</td>\n",
       "      <td>2.201796</td>\n",
       "      <td>-0.587328</td>\n",
       "      <td>-0.083188</td>\n",
       "      <td>-0.354535</td>\n",
       "      <td>-0.049050</td>\n",
       "      <td>-0.112024</td>\n",
       "      <td>-0.113441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>-0.059941</td>\n",
       "      <td>-0.068335</td>\n",
       "      <td>-0.238551</td>\n",
       "      <td>-0.056796</td>\n",
       "      <td>-0.417009</td>\n",
       "      <td>-0.073906</td>\n",
       "      <td>-0.179643</td>\n",
       "      <td>-0.222391</td>\n",
       "      <td>-0.330865</td>\n",
       "      <td>-0.111365</td>\n",
       "      <td>...</td>\n",
       "      <td>0.034325</td>\n",
       "      <td>0.965614</td>\n",
       "      <td>-0.214828</td>\n",
       "      <td>-0.473871</td>\n",
       "      <td>1.312414</td>\n",
       "      <td>-0.131927</td>\n",
       "      <td>0.002938</td>\n",
       "      <td>-0.091835</td>\n",
       "      <td>-0.165793</td>\n",
       "      <td>-0.167457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>-0.076261</td>\n",
       "      <td>-0.081110</td>\n",
       "      <td>-0.179432</td>\n",
       "      <td>-0.074444</td>\n",
       "      <td>-0.282514</td>\n",
       "      <td>-0.084328</td>\n",
       "      <td>-0.145404</td>\n",
       "      <td>-0.170097</td>\n",
       "      <td>-0.232755</td>\n",
       "      <td>-0.105965</td>\n",
       "      <td>...</td>\n",
       "      <td>1.944459</td>\n",
       "      <td>3.276534</td>\n",
       "      <td>-0.165729</td>\n",
       "      <td>1.275377</td>\n",
       "      <td>0.802814</td>\n",
       "      <td>-0.117843</td>\n",
       "      <td>3.650877</td>\n",
       "      <td>-0.094684</td>\n",
       "      <td>-0.137404</td>\n",
       "      <td>-0.138366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.039335</td>\n",
       "      <td>-0.046229</td>\n",
       "      <td>-0.186032</td>\n",
       "      <td>-0.036751</td>\n",
       "      <td>-0.332603</td>\n",
       "      <td>-0.050805</td>\n",
       "      <td>-0.137649</td>\n",
       "      <td>-0.172759</td>\n",
       "      <td>-0.261851</td>\n",
       "      <td>-0.081571</td>\n",
       "      <td>...</td>\n",
       "      <td>0.650770</td>\n",
       "      <td>1.437511</td>\n",
       "      <td>-0.166547</td>\n",
       "      <td>0.513174</td>\n",
       "      <td>-0.584743</td>\n",
       "      <td>-0.098459</td>\n",
       "      <td>0.527871</td>\n",
       "      <td>-0.065530</td>\n",
       "      <td>-0.126274</td>\n",
       "      <td>-0.127641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3989</th>\n",
       "      <td>-0.065429</td>\n",
       "      <td>-0.072865</td>\n",
       "      <td>-0.223650</td>\n",
       "      <td>-0.062643</td>\n",
       "      <td>-0.381737</td>\n",
       "      <td>-0.077800</td>\n",
       "      <td>-0.171466</td>\n",
       "      <td>-0.209335</td>\n",
       "      <td>-0.305427</td>\n",
       "      <td>-0.110983</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.288064</td>\n",
       "      <td>2.788346</td>\n",
       "      <td>-0.202636</td>\n",
       "      <td>0.689532</td>\n",
       "      <td>0.479799</td>\n",
       "      <td>-0.129198</td>\n",
       "      <td>-0.179595</td>\n",
       "      <td>-0.093683</td>\n",
       "      <td>-0.159198</td>\n",
       "      <td>-0.160672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3990</th>\n",
       "      <td>-0.047106</td>\n",
       "      <td>-0.055369</td>\n",
       "      <td>-0.222924</td>\n",
       "      <td>-0.044010</td>\n",
       "      <td>-0.398591</td>\n",
       "      <td>-0.060853</td>\n",
       "      <td>-0.164937</td>\n",
       "      <td>-0.207016</td>\n",
       "      <td>-0.313795</td>\n",
       "      <td>-0.097726</td>\n",
       "      <td>...</td>\n",
       "      <td>0.401055</td>\n",
       "      <td>-0.467674</td>\n",
       "      <td>-0.199572</td>\n",
       "      <td>-0.760864</td>\n",
       "      <td>-0.700783</td>\n",
       "      <td>-0.117967</td>\n",
       "      <td>0.313775</td>\n",
       "      <td>-0.078502</td>\n",
       "      <td>-0.151304</td>\n",
       "      <td>-0.152942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3991</th>\n",
       "      <td>-0.085974</td>\n",
       "      <td>-0.092868</td>\n",
       "      <td>-0.232643</td>\n",
       "      <td>-0.083392</td>\n",
       "      <td>-0.379187</td>\n",
       "      <td>-0.097442</td>\n",
       "      <td>-0.184270</td>\n",
       "      <td>-0.219373</td>\n",
       "      <td>-0.308448</td>\n",
       "      <td>-0.128202</td>\n",
       "      <td>...</td>\n",
       "      <td>0.534151</td>\n",
       "      <td>-0.436816</td>\n",
       "      <td>-0.213163</td>\n",
       "      <td>-0.270345</td>\n",
       "      <td>1.418769</td>\n",
       "      <td>-0.145087</td>\n",
       "      <td>-0.211367</td>\n",
       "      <td>-0.112165</td>\n",
       "      <td>-0.172897</td>\n",
       "      <td>-0.174264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3992</th>\n",
       "      <td>-0.037602</td>\n",
       "      <td>-0.044089</td>\n",
       "      <td>-0.175631</td>\n",
       "      <td>-0.035172</td>\n",
       "      <td>2.058982</td>\n",
       "      <td>-0.048394</td>\n",
       "      <td>-0.130107</td>\n",
       "      <td>-0.163143</td>\n",
       "      <td>-0.246971</td>\n",
       "      <td>-0.077343</td>\n",
       "      <td>...</td>\n",
       "      <td>-1.050912</td>\n",
       "      <td>-0.367777</td>\n",
       "      <td>-0.157299</td>\n",
       "      <td>-1.005351</td>\n",
       "      <td>-0.550784</td>\n",
       "      <td>-0.093233</td>\n",
       "      <td>0.296761</td>\n",
       "      <td>-0.062250</td>\n",
       "      <td>-0.119404</td>\n",
       "      <td>-0.120691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3993</th>\n",
       "      <td>-0.047029</td>\n",
       "      <td>-0.055313</td>\n",
       "      <td>-0.223290</td>\n",
       "      <td>-0.043925</td>\n",
       "      <td>-0.399402</td>\n",
       "      <td>-0.060810</td>\n",
       "      <td>-0.165157</td>\n",
       "      <td>-0.207343</td>\n",
       "      <td>-0.314391</td>\n",
       "      <td>-0.097777</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.264221</td>\n",
       "      <td>-0.468658</td>\n",
       "      <td>-0.199880</td>\n",
       "      <td>1.921592</td>\n",
       "      <td>0.597610</td>\n",
       "      <td>-0.118069</td>\n",
       "      <td>-0.145412</td>\n",
       "      <td>-0.078504</td>\n",
       "      <td>8.051639</td>\n",
       "      <td>-0.153132</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3994 rows × 9651 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3         4         5         6     \\\n",
       "0    -0.036398 -0.043885 -0.195706 -0.033593 -0.354878 -0.048854 -0.143164   \n",
       "1    -0.021892 -0.029040 -0.173976 -0.019214 -0.325930 -0.033783 -0.123816   \n",
       "2    -0.059941 -0.068335 -0.238551 -0.056796 -0.417009 -0.073906 -0.179643   \n",
       "3    -0.076261 -0.081110 -0.179432 -0.074444 -0.282514 -0.084328 -0.145404   \n",
       "4    -0.039335 -0.046229 -0.186032 -0.036751 -0.332603 -0.050805 -0.137649   \n",
       "...        ...       ...       ...       ...       ...       ...       ...   \n",
       "3989 -0.065429 -0.072865 -0.223650 -0.062643 -0.381737 -0.077800 -0.171466   \n",
       "3990 -0.047106 -0.055369 -0.222924 -0.044010 -0.398591 -0.060853 -0.164937   \n",
       "3991 -0.085974 -0.092868 -0.232643 -0.083392 -0.379187 -0.097442 -0.184270   \n",
       "3992 -0.037602 -0.044089 -0.175631 -0.035172  2.058982 -0.048394 -0.130107   \n",
       "3993 -0.047029 -0.055313 -0.223290 -0.043925 -0.399402 -0.060810 -0.165157   \n",
       "\n",
       "          7         8         9     ...      9641      9642      9643  \\\n",
       "0    -0.181292 -0.278044 -0.082265  ...  0.252271 -0.417474 -0.174547   \n",
       "1    -0.160216 -0.252580 -0.065679  ... -0.253483 -0.385686 -0.153776   \n",
       "2    -0.222391 -0.330865 -0.111365  ...  0.034325  0.965614 -0.214828   \n",
       "3    -0.170097 -0.232755 -0.105965  ...  1.944459  3.276534 -0.165729   \n",
       "4    -0.172759 -0.261851 -0.081571  ...  0.650770  1.437511 -0.166547   \n",
       "...        ...       ...       ...  ...       ...       ...       ...   \n",
       "3989 -0.209335 -0.305427 -0.110983  ... -0.288064  2.788346 -0.202636   \n",
       "3990 -0.207016 -0.313795 -0.097726  ...  0.401055 -0.467674 -0.199572   \n",
       "3991 -0.219373 -0.308448 -0.128202  ...  0.534151 -0.436816 -0.213163   \n",
       "3992 -0.163143 -0.246971 -0.077343  ... -1.050912 -0.367777 -0.157299   \n",
       "3993 -0.207343 -0.314391 -0.097777  ... -0.264221 -0.468658 -0.199880   \n",
       "\n",
       "          9644      9645      9646      9647      9648      9649      9650  \n",
       "0    -1.153338  0.692359 -0.100605 -0.012338 -0.064846 -0.130811 -0.132296  \n",
       "1     2.201796 -0.587328 -0.083188 -0.354535 -0.049050 -0.112024 -0.113441  \n",
       "2    -0.473871  1.312414 -0.131927  0.002938 -0.091835 -0.165793 -0.167457  \n",
       "3     1.275377  0.802814 -0.117843  3.650877 -0.094684 -0.137404 -0.138366  \n",
       "4     0.513174 -0.584743 -0.098459  0.527871 -0.065530 -0.126274 -0.127641  \n",
       "...        ...       ...       ...       ...       ...       ...       ...  \n",
       "3989  0.689532  0.479799 -0.129198 -0.179595 -0.093683 -0.159198 -0.160672  \n",
       "3990 -0.760864 -0.700783 -0.117967  0.313775 -0.078502 -0.151304 -0.152942  \n",
       "3991 -0.270345  1.418769 -0.145087 -0.211367 -0.112165 -0.172897 -0.174264  \n",
       "3992 -1.005351 -0.550784 -0.093233  0.296761 -0.062250 -0.119404 -0.120691  \n",
       "3993  1.921592  0.597610 -0.118069 -0.145412 -0.078504  8.051639 -0.153132  \n",
       "\n",
       "[3994 rows x 9651 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "sclens.preprocess(df, min_genes_per_cell=200, min_cells_per_gene=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sclens.plot_preprocessing()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With fit_transform(), scLENS fits to the data, saving the robust components, and returns the projection of the training data to the robust components. For test data, the transform() function could be used, which projects the input data without fitting to it\n",
    "\n",
    "scLENS adopts a modified version of PCA explained in https://arxiv.org/abs/1810.03602 and implemented in the Randomly python package (https://github.com/RabadanLab/randomly). The steps performed in Randomly can be outlined as:\n",
    "1) Create randomized data matrix by permutating data points along cells\n",
    "2) Perform PCA on the original and randomized data, creating two sets of principal components\n",
    "3) Calculate the Marchenko-Pastur distribution and Tracy-Widom critical eigenvalue\n",
    "4) Select principal components above the Tracy-Widom threshold, the signal components\n",
    "\n",
    "scLENS builds on this method by selecting only the components robust from small perturbations among the signal components. scLENS does the following:\n",
    "1) Perform PCA on the original data\n",
    "2) Construct *n_rand_matrix* random binary matrices, each having *sparsity* sparsity\n",
    "3) Create *n_rand_matrix* perturbed data matrices by adding the random binary matrices to the original data\n",
    "4) Perform PCA on the perturbed data matrices\n",
    "5) Calculate the correlation between the signal components found in the original data and the signal components found in the perturbed data\n",
    "6) Select signal components with correlation above *threshold*, the robust components\n",
    "\n",
    "Note that *sparsity* is automatically calculated by default. Specifying a number during initialization skips the sparsity calculation step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sclens/Documents/scLENS-py/scLENS/PCA.py:161: UserWarning: \n",
      "\n",
      "`distplot` is a deprecated function and will be removed in seaborn v0.14.0.\n",
      "\n",
      "Please adapt your code to use either `displot` (a figure-level function with\n",
      "similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n",
      "For a guide to updating your code to use the new functions, please see\n",
      "https://gist.github.com/mwaskom/de44147ed2974457ad6372750bbe5751\n",
      "\n",
      "  plot = sns.distplot(self.L,\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 10/10 [01:12<00:00,  7.23s/it]\n",
      "/home/sclens/Documents/scLENS-py/scLENS/scLENS.py:319: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n",
      "  X_clean = torch.tensor(X).to(self.device, dtype=torch.double)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1min 53s, sys: 8.35 s, total: 2min 1s\n",
      "Wall time: 1min 53s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "X_transform = sclens.fit_transform(plot_mp=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AqQEAAJZAqQEAAJZAqQEAAJZAqQEAAJZAqQEAAJZAqQEAAJZAqQEAAJZAqQEAAJZAqQEAAJZAqQEAAJZgWqn5+OOP1bt3bzVu3FgxMTFX3Xbr1q3q0aOHmjZtqj59+mjPnj0llBIAUJalZzq0fsthLVyToK+2HlZ6psPS+y3vTLuhZdWqVTV69Gh9//33Onfu3BW3O3funEaPHq0JEyaoe/fu+uSTTzRq1CitXbtWXl5eJZgYAFCW7D50RrFzf1BqhkMeFWzKyTU0d8VOTRoRroZ1gyy3X+limfp2x3GdOpum6jf6qV3TYPl6F/9XvVn7vZxppaZbt26SpISEhKuWmvXr16tWrVrq2bOnJGno0KFasGCBvv/+e3Xq1KkEkgIACqukv/TSMx2KnfuD0v47QpKTa0iS0jIdmjI3XvMnRhbL/s3ar1Q+S9zlTCs1BbVv3z41bNjQ+dhmsyk0NFT79u2j1ACAm8z4F3VJfukdPH5Bh08laeeB00rNyDvlYxhSaoZDc1fsVOPbblTtaoGqF1y5zO73kvJY4vJT6ktNWlqaKld2/YOvVKmSUlNTTUoEAGWTGf+iLukvvTnL/6OdB89cc7t1Ww5r3ZbDalzvRr32RPsyu9/yWuKupNSXGj8/PyUnJ7ssS0lJkb+/v0mJAKDwSmrE5GxShs4mZSgzK0dT5sYrIytHkmu5mDTne00aES5vLw8FBfooKNCn0Ps160svquedzv2u23Lkitt1a13bud+iYNZ+y1uJu5ZSX2pCQkL02WefOR8bhqG9e/dq0KBBJqYCgOtXkiMmn3/zm5ZvPHDF9YYhpWfmaNw730qSekbcpkfvb1zo/Zr1pVcvuLLqBVdWm8bV9d0vJ5SW6ZBh/N96m03y8/bUiAcaF2mJNGu/5a3EXYtpp3Q7HA5lZmbK4XAoNzdXmZmZys7OzrPdXXfdpcOHD2vFihXKysrShx9+KElq27ZtSUcGgEK71nSMVU79jep5p559sLm6ta511e26ta6tZx9srqiedxbp/n29PTVpRLj8/lsgPCrYJF0sFpNGhBfbcR4lvd96wZXVuUVNjXjgTvn7eMpmc11vs0n+PhfLVOcWNYtsCsis/V6LzTD+2iVLzsyZM/X222+7LOvVq5emTp0qu92uOXPmKCwsTJK0ZcsWvfzyyzpy5Ijq16+vV155xeXgYXc8/vjjmj17dqHzA4A7Lk0Dbdl5Uv9av++K2w3sFqrWjaoV2TSQWfu9JD3ToWGxa684clHcB5KmZzr03S/HdepMmqqV8CnOJb3fhENnNWVuvMsIoL+PZ7GfhVRS+y3I97dppcYslBoAZpj3xc6rTgNdrqimgS4xs1yY9WVbHlm5xBXk+7vUH1MDACi8S9Mil5eL4p6OkaSGdYM0f2KkKV+25Y2vt6e6tqpdbvZ7Of5GAUAJ6NXpdkU0r+FyFtLlIyY+Xh4uZyEVNTPLRWn50oO1UWoAlGsldWr1X49VmRLV9oojJsU9HUO5gJVRagCUW2Zd3p3pGKB48F8QgHLFrIvRXY4RE6DoUWoAlCtx8YlatG7vFddffjG6Qd1C9WBkg5KKB6AQKDUAypU2jaur+k3++u6XE/px9+/KzeeqFhVsNrW84xa1a3priV0JFUDhUWoAlCs/7Dx51ZEaSco1DG3ZdUpbdp3SoG6hJXY1VACFQ6kBUK7cHV5HrRpVM/XUagDFw7R7PwGAGYICfXR7jRvUqN6NmhLVNt979EyJaqtG9W7U7TVuoNQAZQgjNQDKLU6tBqyF/3IBlGucWg1YB9NPAADAEig1AADAEph+AmCKS1f2LajiurIvAOug1AAwxbWu7Hs5ruwL4FooNQBMcel6MX819cMfJUnjhrTMsz2jNACuhVIDwBT5TSd5VfSQJN1e4wYTEgEo6zhQGAAAWAKlBgAAWAKlBgAAWAKlBgAAWAKlBgAAWAKlBgAAWAKndAPlWGm6qm96pkMp6dnKycnVV1sPc7dsAG7jNwZQjpWWq/ruPnRGsXN/UGqGQ5I0/bMdmrtipyaNCFfDukFFvj8A1kSpAcqx0nBV3/RMh2Ln/qC0TIfL8rRMh6bMjdf8iZGM2AAoEH5TAOVYabiq77c7jjtHaP7KMKTUDIe+++W4uraqXSJZAJRtHCgMwFSnzqbJo4It33UeFWw6dSathBMBKKsoNQBMVS3ITzm5Rr7rcnINVbvRr4QTASirKDUATNW+WbD8fTxlu2ywxmaT/H081a5psDnBAJQ5lBoApvL19tSkEeHyu+xgYL//LucgYQAFxW8LAKZrWDdI8ydG6rGpG5STk6thPe7gOjUA3MZvDJRKpemicCgZvt6eCvCtKEmc7QTgulBqUCqVlovClTdc1RdAWcZvK5RKpeGicOUNV/UFUNZRalAqlYaLwpUnXNUXgBVw9hMA51V9jcsuF/PXq/oCQGlHqQHAVX0BWAKlBgBX9QVgCUySA1D7ZsGa98VOpWW6TkHZbBcvglccV/XN77T9rOwcSdJvx87n2Z7T9gFcC6UGgPOqvlPmxrvcMbs4r+p7tdP2Y6ZtzLOM0/YBXAulBoCkkr+qb36n7V8NozQAroVSA8CpJK/qy3QSgKLGgcIAAMASKDUAAMASKDUAAMASKDUAAMASKDUAAMASKDUAAMASKDUAAMASuE4NUI5xqwIAVkKpAcoxblUAwEooNUA5xq0KAFgJpQYox5hOAmAlHCgMAAAsgVIDAAAswbRSk5SUpOjoaNntdrVv314LFiy44rbLly9XZGSk7Ha7HnroIR08eLDkggIAgDLBtFITGxurrKwsbd68WfPmzdN7772njRvznm2xbds2vfrqq3rrrbf0448/qk2bNho1apQcDocJqQEAQGllyoHCaWlpiouL07JlyxQQEKDQ0FD1799fS5cuVUREhMu2GzZsUGRkpBo1aiRJGjVqlN577z1t27ZNbdq0MSM+UOTyu17M1XCALwDkZUqpSUxMlGEYCgkJcS5r0KCB1q1bl+/2hmHk+Xnv3r2UGljG1a4Xkx+uFwMAeZk2UhMQEOCyLDAwUKmpqXm27dixo5566in1799fDRo00DvvvCOHw6GMjIL/qxYo7fK7XszUD3+UJI0b0jLP9ozSAEBeppQaPz+/PAUmOTlZ/v7+ebYNDw/X2LFj9fzzz+vcuXPq1auXbr/9dt1yyy0lFRcodvlNJ3lV9JAk3V7jBhMSAUDZY0qpqVOnjiRp//79ql+/viQpISHB+fPlBgwYoAEDBkiSLly4oM8++0xNmjQpkawAAKBsMOXsJz8/P0VGRmratGlKSUnRvn37tGTJEvXp0yfPtllZWdqzZ49yc3N1+vRpTZgwQXfddZfq1atnQnIAAFBamXZK96RJk+Tp6akOHTpo+PDhioqKcp75ZLfbtW3bNkkXS80LL7ygFi1aqEePHqpatapiY2PNig0AAEop0+79FBgYqBkzZuS7bvv27c6fAwICtGLFipKKBQAAyihukwAAACyBUgMAACyBUgMAACyBUgMAACyBUgMAACyBUgMAACyBUgMAACyBUgMAACyBUoMyIT3ToZT0bF1IydRXWw8rPdNhdiQAQClj2hWFUTacTcrQ2aSMAm+f392mC2v3oTOKnfuDUjMuFpnpn+3Q3BU7NWlEuBrWDSrSfZWG9wsAuD6UGlxVXHyiFq3bW+DtB3UL1YORDYps/+mZDsXO/UFpl43MpGU6NGVuvOZPjJSvd9H9NTb7/QIArh+lBld1d3gdtWpUzWXZ1A9/lCSNG9Iyz/ZFPWrx7Y7jzhGavzIMKTXDoe9+Oa6urWoX2f7Mfr8AgOtHqcFV5Te94lXRQ5J0e40bin3/p86myaOCTTm5Rp51HhVsOnUmrUj3Z/b7BQBcPw4URqlWLcgv30IjSTm5hqrd6FfCiQAApRWlBqVa+2bB8vfxlM3mutxmk/x9PNWuabA5wQAApQ6lBqWar7enJo0Il99lBwP7/Xd5UR4kDAAo2/hGQKnXsG6Q5k+M1GNTNygnJ1fDetyhdk2DKTQAABd8K6BM8PX2VIBvRUkq0rOdAADWwfQTAACwBEoNAACwBEoNAACwBEoNAACwBEoNAACwBEoNAACwBEoNAACwBEoNAACwBEoNAACwBEoNAACwBEoNAACwBEoNAACwBG5oWUacTcrQ2aSMAm8fFOijoECfYkwEAEDpQqkpI+LiE7Vo3d4Cbz+oW6gejGxQjIkAAChdKDVlxN3hddSqUTWXZVM//FGSNG5IyzzbM0oDAChvKDVlRH7TSV4VPSRJt9e4wYREAACULhwoDAAALIFSAwAALIFSAwAALOG6jqn5+eef9fnnn+vPP//U7NmztWvXLqWnpyssLKyo8wEAABSI2yM1q1evVlRUlCRp69atkqTc3FzNmDGjaJMBAAC4we2RmlmzZmnOnDlq3ry54uLiJEmhoaHav39/kYcDAAAoKLdHak6ePKnmzZtLkmw2mySpYsWKysnJKdpkAAAAbnC71AQHB2v37t0uy3bu3KkaNWoUWSgAAAB3uV1qhg0bpieffFKLFy+Ww+HQihUrNGbMGA0fPrw48gEAABSI28fU9OzZU7m5uVqwYIFycnI0c+ZMPfLII+rRo0dx5AMAACgQt0qNw+HQ/Pnz9cgjj6h3797FlQkAAMBtbk0/eXp6avbs2fL29i6uPAAAANfF7WNq7Ha7fv311+LIAgAAcN3cPqamadOmGj16tPr06aMaNWo4T+uWpL59+xZpOAAAgIJyu9R8/vnn8vLy0sqVK12W22w2Sg0AADCN26Xm66+/Lo4cAAAAhVKou3SfPXu2qHIAAAAUitulJisrS6+99prsdrvatWsnu92uV199VVlZWcWRDwAAoEDcLjUzZ87Ud999p3/84x9asWKF/vGPfyg+Pl4zZ84sjnxAuZSe6VBKerYupGTqq62HlZ7pMDsSAJR6bpeaNWvW6N1331XXrl0VEhKirl276p133tGXX35ZHPmAcmf3oTMaFrtW55IylJSapemf7dCw2LVKOMR0LwBcjdulJikpSbfeeqvLsurVqyslJaXIQgHlVXqmQ7Fzf1DaZSMzaZkOTZkbz4gNAFyF22c/1a9fX4sWLdLgwYOdyxYvXqzbb7+9SIOhdLo0LZKTk6uvth5Wu6bB8vV2+6/RNZ1NytDZpAyXZVnZOZKk346dz7N9UKCPggJ9ijxHSft2x3GlZuQtLoYhpWY49N0vx9W1VW0TkgFA6ef2t9GlO3J//vnnqlmzpo4ePapDhw7pgw8+KI58KEV2Hzqj2Lk/OL90p3+2Q3NX7NSkEeFqWDeoSPcVF5+oRev25rsuZtrGPMsGdQvVg5ENijSDGU6dTZNHBZtyco086zwq2HTqTJoJqQCgbHC71Njtdq1evVorV67UyZMn1ahRI/Xo0SPPlNS1JCUl6W9/+5s2bdokf39/jRgxQkOHDs1329WrV+vtt9/WyZMndfPNNysqKkr9+vVzNzoK4VrTIvMnRhbpiM3d4XXUqlG1Am9vhVEaSaoW5JdvoZGknFxD1W70K+FEAFB2XNe3UPXq1TVy5MhC7Tg2NlZZWVnavHmzjh8/rqFDh6pu3bqKiIhw2e7EiRN6/vnnNWPGDHXu3Fm//PKLhg0bpkaNGumOO+4oVAYUXElPi1hlOsld7ZsFa94XO5WW6ZDxl25js0l+3p5q1zTYvHAAUMq5faDwq6++qm3btrks+/HHHzV16tQCv0ZaWpri4uIUExOjgIAAhYaGqn///lq6dGmebU+ePKlKlSqpS5custlsatasmerVq6d9+/a5Gx2FcGlaJD9MixQdX29PTRoRLr/LRr38/ru8OI5fAgCrcLvUrF69Os8IyR133KFVq1YV+DUSExNlGIZCQkKcyxo0aKD9+/fn2bZp06aqW7eu1q9fr9zcXG3btk3Hjh1Ty5Yt3Y2OQmBapOQ0rBuk+RMjVSXQR4H+Xooe0EzzJ0YW+XFLAGA1bv+zLyMjQz4+rtMCvr6+Sk9PL/BrpKWlKSAgwGVZYGCgUlNT8wb09FSvXr30/PPPKzMzUzabTZMnT1ZwMMPwJYlpkZLl6+2pAN+KksTZTgBQQG6P1NSoUUNbt251WbZ161a3Soafn1+eApOcnCx/f/8823777bf6f//v/+mDDz7Qzp07tXz5cs2aNUvffPONu9FRCEyLAABKO7dLzZAhQ/Tss89qwYIF+uabb7RgwQI999xzGjJkSIFfo06dOpLkMt2UkJCg+vXr59l27969at68uex2uypUqKD69esrIiJCmzZtcjc6ColpEQBAaeZ2qenVq5diYmK0dOlSxcTEaMmSJYqOjlafPn0K/Bp+fn6KjIzUtGnTlJKSon379mnJkiX5vkaTJk20fft2/frrr5KkgwcPauPGjWrQoOxfk6QsujQtUjnAW11b1WaEBgBQalzXN1K/fv0KfZ2YSZMmacKECerQoYP8/f0VFRXlPJ3bbrdrzpw5CgsLU8uWLRUTE6OxY8fqjz/+UOXKlXX//ferb9++hdo/AACwlkL9M/vHH3/Url271KJFC915551uPTcwMFAzZszId9327dtdHg8aNEiDBg267pwAAMD6Cjz99Le//U2fffaZ8/HSpUs1ePBgzZo1SwMHDtTXX39dLAEBAAAKosClZsuWLWrbtq3z8TvvvKMxY8Zoy5YtevHFFzVv3rxiCQgAAFAQBS41Z86cUY0aNSRJx44d0++//66BAwdKuniMzYEDB4onIQAAQAEUuNR4enrK4bh4759du3apdu3azgvoeXl5KSsrq3gSAgAAFECBS01oaKhWrFghSVqzZo1atWrlXHfixAlVrly56NMBJkvPdCglPVsXUjL11dbDSs/Me1NPAEDpUOBS88QTT+jll19Wy5YttWnTJg0ePNi57quvvnL77CegtNt96IyGxa7VuaQMJaVmafpnOzQsdq0SDp01OxoAIB8FPqW7devWWr16tXbt2qXGjRvr1ltvda5r1KiR2rVrVywBATOkZzoUO/cHpV02MpOW6dCUufGaPzGSCw8CQCnj1m/l4ODgfO/xFBYWVmSBgNLg2x3HlZqRd6rJMKTUDIe+++U4N5oEgFLG7dskAOXBqbNp8qhgy3edRwWbTp1JK+FEAIBrodQA+agW5KecXCPfdTm5hqrd6FfCiQAA10KpAfLRvlmw/H08ZbtssMZmk/x9PNWuad5pWACAuSg1QD58vT01aUS4/C47GNjvv8s5SBgASh+3S826deucVw8+cuSIHnzwQQ0ePFhHjx4t8nCAmRrWDdL8iZGqEuijQH8vRQ9opvkTI9WwbpDZ0QAA+XC71Lz11lvy8/Nz/ly9enXVrFlTf//734s8HGA2X29PBfhWVOUAb3VtVZsRGgAoxdz+Df3nn3+qevXqMgxD8fHxWr9+vby9vRUREVEc+QAAAArE7VJTsWJFpaen67ffflO1atUUGBionJwc7v0EAABM5Xapadu2rWJiYnT+/Hl17dpVknTo0CHdfPPNRR4OAACgoNw+pmbKlCkKDQ1V+/btNXLkSEkXDxh+6KGHijwcAABAQbk9UlOpUiXFxMS4LOvSpUuRBQIAALgebo/UfPLJJ0pISJAk7dq1SxEREerSpYt27dpV5OEAAAAKyu1S88EHH6hq1aqSpOnTp+uee+5Rz549NXXq1CIPBwAAUFBuTz+dP39eN954oxwOh37++WdNnz5dFStWVLt27YojHwAAQIG4PVLj6+urCxcuaMeOHapXr558fX1lGIays7OLIx+uID3ToZT0bF1IydRXWw8rPdNhdiQAAEzl9khN165dNWzYMKWmpmrgwIGSpL179yo4mBv8lZTdh84odu4PSs24WGSmf7ZDc1fs1KQR4VzCHwBQbrldasaPH6/ly5erYsWKuv/++yVJKSkpGjVqVJGHQ17pmQ7Fzv1BaZeNzKRlOjRlbrzmT4zkUv4AgHLpuq4o3K9fP5dlbdq0KbJAuLpvdxx3jtD8lWFIqRkOfffLcXVtVduEZAAAmMvtY2pyc3P13nvvqVu3bmrRooUkafPmzVq8eHGRh0Nep86myaOCLd91HhVsOnUmrYQTAQBQOrhdambOnKk1a9boqaeeks128cu1Vq1aWrRoUZGHQ17VgvyUk2vkuy4n11C1G/1KOBEAAKWD26VmxYoVmjVrlu677z5VqHDx6TVr1tTx48eLPBzyat8sWP4+nrJdNlhjs0n+Pp5q15QDtgEA5ZPbpSY1NVXVqlVzWZaTkyMPD48iC4Ur8/X21KQR4fK77GBgv/8u5yBhAEB55XapCQkJUVxcnMuyDRs26I477iiyULi6hnWDNH9ipKoE+ijQ30vRA5pp/sRITucGAJRrbv+zfsyYMRo6dKi++uorZWZmavz48Vq7dq0++OCD4siHK/D19lSAb0VJ4mwnAAB0HSM1TZs21dKlS1WlShW1atVKubm5mj9/vpo0aVIc+QAAAArkug7AqFevniZMmFDUWQAAAK7bdZWao0ePaufOnUpNTXVZ3rdv3yIJBQAA4C63S82iRYv08ssvq3LlyvL19XUut9lslBoAAGAat0vN+++/r3/+85/q1q1bceQBAAC4Lm4fKJycnEyhAQAApY7bpSYiIkJbt24tjiwAAADXze3pp6CgID3xxBPq1q2bqlat6rIuOjq6yIIBAAC4w+1Ss2fPHjVo0EBHjhzRkSNHnMttl9+MCJZwNilDZ5MyXJZlZedIkn47dj7P9kGBPgoK9CmJaAAAuHC71CxcuLA4cqCUiotP1KJ1e/NdFzNtY55lg7qF6sHIBsUdCwCAPNwuNZMnT9bkyZPzLI+NjdXEiROLIhNKkbvD66hVo2rX3vC/GKUBAJjF7VLzxRdf5FtqVq1aRamxIKaTAABlRYFLzdGjRyVJhmE4f77k4MGD8vLyKtpkAAAAbihwqbnrrrucBwP/9To1hmHIw8NDMTExRZ+uFMrvwNmrYaQDAICSUeBSs2HDBhmGofvuu0+rVq1yLq9QoYKCgoLk7e1dLAFLm6sdOJsfDpwFAKBkFLjUBAcHS5K2b99ebGHKgvwOnJ364Y+SpHFDWubZnlEaAABKhtsHCn/yySdq3ry5GjZsqF27dmn06NHy8PDQjBkz1Lhx4+LIWKrkN53kVdFDknR7jRtMSAQAAKTruE3CBx984LyS8PTp03XPPfeoZ8+eev3114s8HAAAQEG5PVJz/vx53XjjjXI4HPr55581ffp0VaxYUe3atSuOfAAAAAXidqnx9fXVhQsXtH//ftWrV0++vr7Kzs5WdnZ2ceQDygVuRwEAhed2qenatauGDRum1NRUDRw4UJK0d+9e54HEANzH7SgAoPDcLjXjx4/X8uXLVbFiRd1///2SpJSUFI0aNarIwwHlBbejAIDCc7vUVKxYUf369XNZ1qZNmyILBJRHTCcBQOG5XWqmT59+xXXR0dGFCgMAAHC93C4127Ztc3n8xx9/6Pjx42revHmRhQIAAHCX26Vm4cKFeZYtWLBAKSkpRRIIAADgerh98b38PPzww/rXv/7l1nOSkpIUHR0tu92u9u3ba8GCBflu98UXX8hutzv/16xZM4WGhmrdunVFkBwAAFiF2yM1+Tly5Ijb16mJjY1VVlaWNm/erOPHj2vo0KGqW7euIiIiXLa7//77nWdZSdLGjRv17LPPqkOHDkURHQAAWITbpeb55593eZyenq4tW7aoe/fuBX6NtLQ0xcXFadmyZQoICFBoaKj69++vpUuX5ik1l1u6dKm6d+8uX19fd6MDAAALc7vUeHh4uDy+5ZZb9NJLL+m+++4r8GskJibKMAyFhIQ4lzVo0OCaU0rnzp3T119/ne9xPQAAoHxzu9S89tprhd5pWlqaAgICXJYFBgYqNTX1qs9buXKlatWqJbvdXugMAADAWq7rmJqUlBR9/fXXOnXqlKpVq6YuXbrkKSlX4+fnl6fAJCcny9/f/6rPW7ZsmXr37n09kQEAgMW5XWp27typqKgoeXh4KDg4WCdOnNBrr72mOXPmqHHjxgV6jTp16kiS9u/fr/r160uSEhISnD/nZ/fu3dq/f78eeOABdyMDAIBywO1TumNjY/XQQw9p8+bN+uyzz7Rp0yY9/PDDmjJlSoFfw8/PT5GRkZo2bZpSUlK0b98+LVmyRH369Lnic5YtW6YOHTro5ptvdjcyAAAoB9wuNfv379djjz0mm80mSbLZbBo5cqQOHDjg1utMmjRJnp6e6tChg4YPH66oqCjnmU92u93lysVZWVlauXKl+vbt625cAABQTrg9/XTbbbfp6NGjqlevnnPZkSNHVLduXbdeJzAwUDNmzMh33fbt210ee3l5acuWLe5GBQAA5UiBSk18fLzz5x49emjUqFF65JFHVKNGDR07dkwfffSRBg0aVGwhAQAArqVApWbYsGF5lr388ssuj19//XUNHTq0SEIBAAC4q0ClZs+ePcWdAwAAoFCK5IaWAAAAZnP7QGHDMLRw4UL961//0smTJ1W9enUNGDBAjzzyiPOMKKCsOpuUobNJGS7LsrJzJEm/HTufZ/ugQB8FBfqURDQAwDW4XWrmz5+v+fPn69FHH1Xt2rV1+PBhzZs3Tw6HQ48++mhxZARKTFx8ohat25vvuphpG/MsG9QtVA9GNijuWACAAnC71CxevFizZ89Wo0aNnMtatWqlmJgYSg3KvLvD66hVo2oF3p5RGgAoPdwuNadPn1bDhg1dljVo0EBnzpwpslCAWZhOAoCyy+0DhWvVqqX169e7LNuwYYNq1apVZKEAAADc5fZIzdNPP60nn3xSq1atUs2aNXX06FF98803V7w6MAAAQElwe6SmU6dO+vTTT1WlShX99ttvqlKlij755BN17ty5OPIBAAAUiNsjNZLUpEkTNWnSxPk4JSVF06ZNU0xMTJEFAwAAcIdbIzXbtm3T/PnztWnTJklSbm6uFi5cqK5du2rdunXFEhAAAKAgCjxS89lnn2ny5MmqXLmyLly4oDFjxui7777TkSNH9MILL+iBBx4ozpwAAABXVeBS8/HHH+utt97SPffco5UrV+rFF19Ur169NHv2bHl5eRVnRgAAgGsq8PTTyZMndc8990iSunfvLsMw9OKLL1JoAABAqVDgUpObm+v82cPDQ/7+/vLz8yuWUAAAAO4q8PRTVlaWpk+f7nycmZnp8liSoqOjiy4ZAACAGwpcaux2u7Zt2+Z83KRJE5fH3KEbAACYqcClZuHChcWZA9dwNilDZ5MyXJZlZedIkn47dj7P9tzDCABQ3lzXxfdQ8uLiE7Vo3d5818VM25hn2aBuoXowskFxxwIAoNSg1JQRd4fXUatG1Qq8PaM0AIDyhlJTRjCdBADA1bl9Q0sAAIDSiFIDAAAsgVIDAAAsgVIDAAAsgVIDAAAsgVIDAAAsgVJTSOmZDqWkZ+tCSqa+2npY6ZkOsyMBAFAuUWoKYfehMxoWu1bnkjKUlJql6Z/t0LDYtUo4dNbsaAAAlDuUmuuUnulQ7NwflHbZyExapkNT5sYzYgMAQAmj1Fynb3ccV2qGQ4bhutwwpNQMh7775bg5wQAAKKcoNdfp1Nk0eVSw5bvOo4JNp86klXAiAADKN0rNdaoW5KecXCPfdTm5hqrd6FfCiQAAKN8oNdepfbNg+ft4ynbZYI3NJvn7eKpd02BzggEAUE5Raq6Tr7enJo0Il5+3643O/f673NebG6ADAFCS+OYthIZ1gzR/YqQem7pBOTm5GtbjDrVrGkyhAQDABHz7FpKvt6cCfCtKkrq2qm1yGgAAyi+mnwAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCWYVmqSkpIUHR0tu92u9u3ba8GCBVfcNjMzU6+88orCw8PVvHlz9e7dWykpKSUXFgAAlHqeZu04NjZWWVlZ2rx5s44fP66hQ4eqbt26ioiIyLPtpEmTlJaWppUrVyooKEj79u2Tl5eXCakBAEBpZUqpSUtLU1xcnJYtW6aAgACFhoaqf//+Wrp0aZ5Sc/DgQa1du1YbN25UYGCgJKlBgwZmxAYAAKWYKdNPiYmJMgxDISEhzmUNGjTQ/v3782z766+/qkaNGnr33XfVpk0b3XPPPfr3v/9dknEBAEAZYNpITUBAgMuywMBApaam5tn21KlT2rdvn7p06aJNmzZpz549Gj58uGrXrq1WrVqVVGQAAFDKmTJS4+fnl6fAJCcny9/fP8+2Pj4+8vDw0BNPPCEvLy81adJEd999t/73f/+3pOICAIAywJRSU6dOHUlymW5KSEhQ/fr182wbGhpaUrEAAEAZZtpITWRkpKZNm6aUlBTt27dPS5YsUZ8+ffJs27JlS9WsWVOzZ8+Ww+HQ7t27tXbtWnXp0sWE5AAAoLQy7To1kyZNkqenpzp06KDhw4crKirKeeaT3W7Xtm3bJEmenp5699139cMPPygsLEzPPPOMxo0bp5YtW5oVHQAAlEKmXacmMDBQM2bMyHfd9u3bXR7fdttt+vTTT0siFgAAKKO4TQIAALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAESg0AALAET7MDlDVnkzJ0NinDZVlWdo4k6bdj5/NsHxToo6BAn5KIBgBAuUapcVNcfKIWrdub77qYaRvzLBvULVQPRjYo7lgAAJR7lBo33R1eR60aVSvw9ozSAABQMig1bmI6CQCA0okDhQEAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCVQagAAgCV4mrXjpKQk/e1vf9OmTZvk7++vESNGaOjQofluGxoaKl9fX9lsNklSixYtNHfu3BJMCwAASjvTSk1sbKyysrK0efNmHT9+XEOHDlXdunUVERGR7/ZLly7VbbfdVsIpAQBAWWHK9FNaWpri4uIUExOjgIAAhYaGqn///lq6dKkZcQAAgAWYMlKTmJgowzAUEhLiXNagQQOtW7fuis8ZMmSIcnNz1bhxY40dO1b169e/vp1/843UqFHe5StWSLffLv32m/TAA/k/d9eui/+/dq307LN51992m/TFFxd/fucd6d13827TrZs0bdrFn2NipPze8+jR0hNPXPz5/vulAwfybvPWW1Jk5MWf83s/vCfeE++J98R74j1Z6T116JD/dn9h2khNQECAy7LAwEClpqbmu/3ChQv19ddfa926dWrYsKGGDx+ulJSUkogKAADKCJthGEZJ73T37t3q37+/du7c6VwWFxen6dOna82aNdd8fufOnTVlyhR17NjR7X0//vjjmj17ttvPAwAA5inI97cpIzV16tSRJO3fv9+5LCEhocBTSjabTSZ0MQAAUIqZUmr8/PwUGRmpadOmKSUlRfv27dOSJUvUp0+fPNvu379fu3btksPhUHp6umbOnKnMzEzZ7XYTkgMAgNLKtIvvTZo0SZ6enurQoYOGDx+uqKgo5+ncdrtd27ZtkySdOXNGzz33nMLCwtSpUyft2LFD8+bNU2BgoFnRAQBAKWTadWoCAwM1Y8aMfNdt377d+XObNm0UFxdXUrEAAEAZxW0SAACAJVBqAACAJVBqAACAJVBqAACAJVBqAACAJVBqAACAJVBqAACAJVBqAACAJVBqAACAJVBqAACAJZh2mwSzHD16VI8//rjZMQAAgBuOHj16zW1shmEYJZAFAACgWDH9BAAALIFSAwAALIFSAwAALIFSAwAALIFSAwAALIFSAwAALIFSAwAALIFSAwAALIFSAwAALIFSAwAALIFSAwAALIFSU0hJSUmKjo6W3W5X+/bttWDBArMjFZusrCyNHz9eXbp0kd1u17333quVK1eaHatEnD17Vq1bt1b//v3NjlLs1q5dqx49eqhZs2bq3Lmz1q1bZ3akYnXs2DGNHDlSrVq1Unh4uJ5//nmlpKSYHatIfPzxx+rdu7caN26smJgYl3X79u1T//791bRpU3Xv3l3x8fEmpSw6V3q/hw4d0ujRo9W2bVuFhYXp4Ycf1n/+8x8Tkxadq/0ZX7JlyxaFhobqjTfeKOF0JY9SU0ixsbHKysrS5s2bNW/ePL333nvauHGj2bGKhcPhUNWqVfXhhx/q559/1pQpUzR58mRt377d7GjF7h//+Iduv/12s2MUu/j4eL366quaMmWKfv75Zy1ZskQNGzY0O1axmjhxoipXrqxNmzYpLi5Op06d0vTp082OVSSqVq2q0aNH5ynj2dnZevzxx9WlSxf9+OOPevLJJ/Xkk0/qzJkzJiUtGld6v8nJyYqIiNCqVau0ZcsWRUZGKioqSmlpaSYlLTpXes+XZGVl6ZVXXlHTpk1LOJk5KDWFkJaWpri4OMXExCggIEChoaHq37+/li5dana0YuHn56fo6GjVrFlTNptNYWFhat68ueVLzdatW5WYmKjevXubHaXYzZgxQ0888YRatGihChUq6MYbb1TNmjXNjlWsjh07ph49esjHx0eVK1dWZGSk9u3bZ3asItGtWzd17dpVVapUcVm+detWZWRkaOTIkfLy8lL37t1Vv359xcXFmZS0aFzp/TZp0kQDBgxQUFCQPDw8NHjwYKWnp+vgwYMmJS06V3rPl7z//vvq1KmT6tWrV8LJzEGpKYTExEQZhqGQkBDnsgYNGmj//v0mpio5aWlp2rlzp+rXr292lGKTlZWll19+WZMmTZLNZjM7TrHKycnRf/7zH50/f16RkZFq3769XnzxRSUnJ5sdrVgNGTJEK1euVGpqqs6ePau4uDh17NjR7FjFav/+/QoJCVGFCv/3FdCwYUPLlLlr+fXXX5Wbm6vatWubHaVYHTp0SCtXrtTo0aPNjlJiKDWFkJaWpoCAAJdlgYGBSk1NNSlRycnNzdW4ceN05513qn379mbHKTbvv/++wsPD1aBBA7OjFLvTp08rOztbq1ev1ocffqjVq1fr9OnTevXVV82OVqxatWqlgwcPKiwsTOHh4fLy8tLgwYPNjlWsUlNTFRgY6LKsvPzuOnfunMaOHaunn35alSpVMjtOsZo8ebLGjh0rX19fs6OUGEpNIfj5+eX5JZCcnCx/f3+TEpUMwzA0adIk/fHHH5o2bZplRzAOHz6szz//XE8//bTZUUrEpV98Dz30kKpVq6bAwEA9/vjj+t///V+TkxWfnJwcjRgxQp06ddKOHTv0008/qWrVqho7dqzZ0YqVv79/nhG48vC7Kzk5WY8++qg6dOigqKgos+MUqxUrVsjHx0ddu3Y1O0qJ8jQ7QFlWp04dSReHci9NwSQkJFh6OsYwDE2ZMkUJCQlasGCBpX8J/vTTTzp9+rQiIyMlSRkZGcrMzFS7du20du3aPKN0ZV1gYKCqV69u2ZKanwsXLujUqVN6+OGH5e3tLW9vbw0aNEhDhgwxO1qxql+/vubMmaPc3FznFFRCQoJ69OhhcrLic6nQ3HnnnZowYYLZcYpdfHy8fvrpJ7Vr107Sxffv4eGhnTt3WvosXUZqCsHPz0+RkZGaNm2aUlJStG/fPi1ZskR9+vQxO1qxiY2N1S+//KJ58+ZZ7kv9ct27d9dXX32l5cuXa/ny5Xr66acVEhKi5cuXW7bM9e3bV5988on+/PNPpaSkaM6cOerSpYvZsYpNUFCQatasqU8//VRZWVlKS0vT4sWLFRoaana0IuFwOJSZmSmHw6Hc3FxlZmYqOztbrVq1kre3t+bOnausrCytWbNG+/bt091332125EK50vtNSUnRiBEjdNttt2ny5MlmxyxSV3rP48eP15o1a5y/v7p06aLevXtr2rRpZkcuVjbDMAyzQ5RlSUlJmjBhgjZv3ix/f3+NGDFCQ4cONTtWsTh+/Li6dOkiLy8veXr+3yDfY489pscff9zEZCVj2bJl+te//qXFixebHaXYOBwOTZ06VV988YU8PDzUqVMnjR8/3tIFds+ePXrttdeUkJAgm82mpk2basKECapVq5bZ0Qpt5syZevvtt12W9erVS1OnTtXevXs1YcIE7d27V8HBwZo4caLCw8NNSlo0rvR+W7durXHjxsnX19dlJHLOnDkKCwsr6ZhF6mp/xn81btw43XTTTRozZkxJxitxlBoAAGAJTD8BAABLoNQAAABLoNQAAABLoNQAAABLoNQAAABLoNQAAABLoNQAAABLoNQAAABLoNQAAABLoNQAAABLoNQAAABLoNQAAABL+P9OC/J8yVNCOAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sclens.plot_robust_score()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.999"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sclens.sparsity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3994, 16)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sclens.robust_components.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The projected data can be visualized in any mapping of your choice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mapper = umap.UMAP(metric='cosine').fit(X_transform)\n",
    "umap.plot.points(mapper, labels=y_true)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sclens.Clustering offers a clustering function, find_clusters(), as well as an automatic chooser for the resolution parameter, chooseR(), based on the R package https://github.com/rbpatt2019/chooseR. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scLENS.clustering import find_clusters, chooseR "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3994, 16)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_transform.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Calculating scores: 100%|██████████| 10/10 [01:09<00:00,  6.96s/it]\n"
     ]
    }
   ],
   "source": [
    "resolution = chooseR(X_transform, reps=5, n_jobs=-1) # Use all available CPU for parallel computation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "clustering = find_clusters(X_transform, res=resolution)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "umap.plot.points(mapper, labels=clustering)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}