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Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools., , , , и . Briefings Bioinform., 21 (2): 408-420 (2020)Multi-CGAN: Deep Generative Model-Based Multiproperty Antimicrobial Peptide Design., , , и . J. Chem. Inf. Model., 64 (1): 316-326 (января 2024)StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides., , , , , , , и . Bioinform., (февраля 2024)PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning., , , и . Bioinform., 35 (21): 4272-4280 (2019)AFP-MFL: accurate identification of antifungal peptides using multi-view feature learning., , , , , , и . Briefings Bioinform., (января 2023)Distant metastasis identification based on optimized graph representation of gene interaction patterns., , , и . Briefings Bioinform., (2022)mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation., , , , и . Bioinform., 35 (16): 2757-2765 (2019)SRDFM: Siamese Response Deep Factorization Machine to improve anti-cancer drug recommendation., , , , и . Briefings Bioinform., (2022)Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites., , , , , и . Briefings Bioinform., (2021)Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information., , , , , , , , , и 2 other автор(ы). MICCAI (6), том 14225 из Lecture Notes in Computer Science, стр. 85-94. Springer, (2023)