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Targeting tumor heterogeneity: multiplex-detection-based multiple instance learning for whole slide image classification., , , , , , , , , и . Bioinform., (марта 2023)HEAL: an automated deep learning framework for cancer histopathology image analysis., , , , , , , , , и 1 other автор(ы). Bioinform., 37 (22): 4291-4295 (ноября 2021)iLearn : an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data., , , , , , , , , и 5 other автор(ы). Briefings Bioinform., 21 (3): 1047-1057 (2020)DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images., , , , , , , , , и 1 other автор(ы). Bioinform., 38 (17): 4206-4213 (2022)Surformer: An interpretable pattern-perceptive survival transformer for cancer survival prediction from histopathology whole slide images., , , , , , , , , и 5 other автор(ы). Comput. Methods Programs Biomed., (ноября 2023)Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome., , , , , , , , , и 1 other автор(ы). Bioinform., 34 (24): 4223-4231 (2018)Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods., , , , , , , , , и 8 other автор(ы). Briefings Bioinform., 20 (6): 2150-2166 (2019)