L. Penn

Bimodality of gene expression in cancer patient tumors as interpretable biomarkers for drug sensitivity

The paper develops an interpretable machine learning pipeline to predict drug sensitivity in cancer cells using bimodal gene expression patterns from pharmacogenomic data.

Computational pharmacogenomics screen identifies synergistic statin-compound combinations as anti-breast cancer therapies