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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)Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks., , , , , и . CoRR, (2024)SUGAR: Efficient Subgraph-Level Training via Resource-Aware Graph Partitioning., , и . IEEE Trans. Computers, 72 (11): 3167-3177 (ноября 2023)A parameter-free deep embedded clustering method for single-cell RNA-seq data., , , , , и . Briefings Bioinform., (2022)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)Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks., , , , , , , , и . Briefings Bioinform., (2022)Fast and accurate non-sequential protein structure alignment using a new asymmetric linear sum assignment heuristic., , , и . Bioinform., 32 (3): 370-377 (2016)A Multi-constraint Deep Semi-supervised Learning Method for Ovarian Cancer Prognosis Prediction., , , , и . ICSI (2), том 13345 из Lecture Notes in Computer Science, стр. 219-229. Springer, (2022)