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Sequence-Based Prediction of Protein-Carbohydrate Binding Sites Using Support Vector Machines., , , и . Journal of Chemical Information and Modeling, 56 (10): 2123 (2016)Predicting the errors of predicted local backbone angles and non-local solvent- accessibilities of proteins by deep neural networks., , и . Bioinform., 32 (24): 3768-3773 (2016)Single-sequence-based prediction of protein secondary structures and solvent accessibility by deep whole-sequence learning., , , , , и . J. Comput. Chem., 39 (26): 2210-2216 (2018)B-factor profile prediction for RNA flexibility using support vector machines., , , , и . J. Comput. Chem., 39 (8): 407-411 (2018)Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering., , и . Briefings Bioinform., (ноября 2023)EVlncRNA-Dpred: improved prediction of experimentally validated lncRNAs by deep learning., , , , , , , , , и 1 other автор(ы). Briefings Bioinform., (января 2023)A parameter-free deep embedded clustering method for single-cell RNA-seq data., , , , , и . Briefings Bioinform., (2022)Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks., , , , , , , , и . Briefings Bioinform., (2022)SUGAR: Efficient Subgraph-Level Training via Resource-Aware Graph Partitioning., , и . IEEE Trans. Computers, 72 (11): 3167-3177 (ноября 2023)Fast and accurate non-sequential protein structure alignment using a new asymmetric linear sum assignment heuristic., , , и . Bioinform., 32 (3): 370-377 (2016)