Potential anti-tumor therapies remain to be discovered in cancer cell line high-throughput screening datasets. Here, the authors develop a machine learning approach to infer cancer cell drug sensitivity from transcriptomics data and to explore drug mechanisms of action, and predict effective drugs for pancreatic cancer and glioblastoma.
- Francesco Carli
- Pierluigi Di Chiaro
- Francesco Raimondi
