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Machine learning and feature selection for drug response prediction in precision oncology applications, and . Biophysical Reviews, 11 (1): 31--39 (Feb 1, 2019)Drug Target Commons 2.0: a community platform for systematic analysis of drug-target interaction profiles., , , , , , , , and . Database J. Biol. Databases Curation, (2018)Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression., , , and . Bioinform., 33 (14): i359-i368 (2017)Genetic variants and their interactions in disease risk prediction - machine learning and network perspectives., , and . BioData Min., (2013)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)Multiobjective optimization identifies cancer-selective combination therapies., , , and . PLoS Comput. Biol., (2020)OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer., , , , , and . PLoS Comput. Biol., (March 2023)Feature learning with a genetic algorithm for fluorescence fingerprinting of plant species., , , , and . Pattern Recognit. Lett., 24 (15): 2663-2673 (2003)Model-based prediction of sequence alignment quality., , , and . Bioinform., 24 (19): 2165-2171 (2008)A multilevel layout algorithm for visualizing physical and genetic interaction networks, with emphasis on their modular organization., , , , and . BioData Min., (2012)