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Prediction of Multiple Types of RNA Modifications via Biological Language Model., , , , , и . IEEE ACM Trans. Comput. Biol. Bioinform., 20 (5): 3205-3214 (сентября 2023)Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features., , , , , , и . Briefings Bioinform., (2021)ASPIRER: a new computational approach for identifying non-classical secreted proteins based on deep learning., , , , , , , и . Briefings Bioinform., (2022)PmxPred: A data-driven approach for the identification of active polymyxin analogues against gram-negative bacteria., , , , , , , , , и 3 other автор(ы). Comput. Biol. Medicine, (января 2024)Existence of multiple positive solutions to nonhomogeneous Schrödinger-Poisson system., , и . Appl. Math. Comput., (2015)ATTIC is an integrated approach for predicting A-to-I RNA editing sites in three species., , , , , , , и . Briefings Bioinform., (мая 2023)iFeatureOmega: an integrative platform for engineering, visualization and analysis of features from molecular sequences, structural and ligand data sets., , , , , , , , , и 4 other автор(ы). Nucleic Acids Res., 50 (W1): 434-447 (2022)ResNetKhib: a novel cell type-specific tool for predicting lysine 2-hydroxyisobutylation sites via transfer learning., , , , , , , , , и 2 other автор(ы). Briefings Bioinform., (марта 2023)iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities., , , , , , , , , и 2 other автор(ы). Briefings Bioinform., (июля 2023)GlycoMine: a machine learning-based approach for predicting N-, C- and O-linked glycosylation in the human proteome., , , , , , и . Bioinform., 31 (9): 1411-1419 (2015)