Skip to content

Latest commit

 

History

History
9 lines (8 loc) · 550 Bytes

README.md

File metadata and controls

9 lines (8 loc) · 550 Bytes

met-ptm-drug-cancer

Machine learning to learn metabolite-histone-drug interactions in cancer.

There are 5 notebooks relevant to this analysis:

  1. PCC: Generates pearson correlation coefficient profiles between metabolite/PTM/drug datasets.
  2. TrainLASSO: Trains LASSO models using TensorFlow.
  3. EMT: Applies the trained LASSO models to EMT datasets.
  4. AggregateCoefficients: Aggregates coefficients from LASSO, stepwise regression, and k-TSP.
  5. SynergyAntagonism: Visualizes cell count percent changes using metabolite/drug profiles.