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.