AI-Ready Drug Response Dataset

This is a drug response dataset suitable for AI-model training. See CSA-and-PharmacoGx-Integration/README.md at main · vincevelle/CSA-and-PharmacoGx-Integration and IMPROVE for more details.Contains ~54,000 compounds, ~6 million drug response experiments, and ~2000 gene expressions samples.References[1] Smirnov, Petr, et al. ”PharmacoDB: an integrative database for mining in vitro anticancer drug screen ing studies.” Nucleic Acids Research (2017). [2] Smirnov, Petr, et al. ”PharmacoGx: an R package for analysis of large pharmacogenomic datasets.” Bioinformatics 32.8 (2015): 1244-1246. [3] Alexander Partin and Priyanka Vasanthakumari et al., Benchmarking community drug response pre diction models: datasets, models, tools, and metrics for cross-dataset generalization analysis, Briefings in Bioinformatics, Volume 27, Issue 1, January 2026, bbaf667, https://doi.org/10.1093/bib/bbaf667 [4] Partin A, Brettin TS, Zhu Y, Narykov O, Clyde A, Overbeek J, et al. Deep learning methods for drug response prediction in cancer: predominant and emerging trends. Frontiers in medicine. 2023;10:1086097.