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IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads., , , , , , , , , и 26 other автор(ы). CoRR, (2020)An Automation Framework for Comparison of Cancer Response Models Across Configurations., , , , , , и . e-Science, стр. 1-10. IEEE, (2023)A Systematic Approach to Featurization for Cancer Drug Sensitivity Predictions with Deep Learning., , , , , , , , и . CoRR, (2020)Learning Curves for Drug Response Prediction in Cancer Cell Lines., , , , , , , , , и 2 other автор(ы). CoRR, (2020)Deep learning methods for drug response prediction in cancer: predominant and emerging trends., , , , , , и . CoRR, (2022)A cross-study analysis of drug response prediction in cancer cell lines., , , , , , , , , и 14 other автор(ы). Briefings Bioinform., (2022)Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response., , , , , , , , и . CoRR, (2020)Pandemic Drugs at Pandemic Speed: Accelerating COVID-19 Drug Discovery with Hybrid Machine Learning- and Physics-based Simulations on High Performance Computers., , , , , , , , , и 19 other автор(ы). CoRR, (2021)IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads., , , , , , , , , и 26 other автор(ы). ICPP, стр. 40:1-40:12. ACM, (2021)Learning curves for drug response prediction in cancer cell lines., , , , , , , , , и 2 other автор(ы). BMC Bioinform., 22 (1): 252 (2021)