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Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction.

, , , , , , , , and . SC Workshops, page 121-122. ACM, (2023)

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Ensemble Transfer Learning for the Prediction of Anti-Cancer Drug Response., , , , , , , , and . CoRR, (2020)TPWshiny: an interactive R/Shiny app to explore cell line transcriptional responses to anti-cancer drugs., , , , , and . Bioinform., 38 (2): 570-572 (2022)Learning curves for drug response prediction in cancer cell lines., , , , , , , , , and 2 other author(s). BMC Bioinform., 22 (1): 252 (2021)Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction., , , , , , , , and . SC Workshops, page 121-122. ACM, (2023)The statistics of phase 0 trials., , , , , , , and . Statistics in medicine, 29 (10): 1072-6 (May 2010)6503<m:linebreak></m:linebreak>JID: 8215016; 0 (Antineoplastic Agents); 0 (Drugs, Investigational); ppublish;<m:linebreak></m:linebreak>Disseny; Fase 0.Predicting tumor cell line response to drug pairs with deep learning., , , , , , , , , and 2 other author(s). BMC Bioinform., 19-S (18): 71-79 (2018)A cross-study analysis of drug response prediction in cancer cell lines., , , , , , , , , and 14 other author(s). Briefings Bioinform., (2022)Learning Curves for Drug Response Prediction in Cancer Cell Lines., , , , , , , , , and 2 other author(s). CoRR, (2020)