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Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression., , , and . Bioinform., 33 (14): i359-i368 (2017)Making Sense of Large-Scale Kinase Inhibitor Bioactivity Data Sets: A Comparative and Integrative Analysis., , , , , , and . J. Chem. Inf. Model., 54 (3): 735-743 (2014)Drug Target Commons 2.0: a community platform for systematic analysis of drug-target interaction profiles., , , , , , , , and . Database J. Biol. Databases Curation, (2018)Interactive visual analysis of drug-target interaction networks using Drug Target Profiler, with applications to precision medicine and drug repurposing., , , , , and . Briefings Bioinform., 21 (1): 211-220 (2020)Exploration of databases and methods supporting drug repurposing: a comprehensive survey., , , , , and . Briefings Bioinform., 22 (2): 1656-1678 (2021)Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments., , , , , , , , , and 9 other author(s). Briefings Bioinform., (2022)Target Inhibition Networks: Predicting Selective Combinations of Druggable Targets to Block Cancer Survival Pathways., , , , , , and . PLoS Comput. Biol., (2013)Impact of normalization methods on high-throughput screening data with high hit rates and drug testing with dose-response data., , , , , , , , and . Bioinform., 31 (23): 3815-3821 (2015)Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach., , , and . Bioinform., 34 (8): 1353-1362 (2018)Identification of structural features in chemicals associated with cancer drug response: a systematic data-driven analysis., , , , , and . Bioinform., 30 (17): 497-504 (2014)