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Predicting tumor cell line response to drug pairs with deep learning
2018
BMC Bioinformatics
The National Cancer Institute drug pair screening effort against 60 well-characterized human tumor cell lines (NCI-60) presents an unprecedented resource for modeling combinational drug activity. Results: We present a computational model for predicting cell line response to a subset of drug pairs in the NCI-ALMANAC database. Based on residual neural networks for encoding features as well as predicting tumor growth, our model explains 94% of the response variance. While our best result is
doi:10.1186/s12859-018-2509-3
fatcat:inq24w5lq5er7g4hlxd5o7njru