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Learning RNA sequence patterns to interpretably identify m6A modification sites.

, , , , , and . BIBM, page 1248-1253. IEEE, (2023)

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Drug Repositioning Method Based on Pre-trained Large Model and Network Embedding Representation., , , , , , and . ICDM (Workshops), page 418-423. IEEE, (2023)PDA-PRGCN: identification of Piwi-interacting RNA-disease associations through subgraph projection and residual scaling-based feature augmentation., , , , , , , and . BMC Bioinform., 24 (1): 18 (December 2023)A Novel Fuzzy-Based MOPSO Algorithm for Identifying Clusters From Complex Networks., , , , and . ICTAI, page 1126-1131. IEEE, (2022)Discovering Consensus Regions for Interpretable Identification of RNA N6-Methyladenosine Modification Sites via Graph Contrastive Clustering., , , , , , and . IEEE J. Biomed. Health Informatics, 28 (4): 2362-2372 (April 2024)A Deep Learning Approach Incorporating Data Missing Mechanism in Predicting Acute Kidney Injury in ICU., , , , , , , , and . ICIC (3), volume 14088 of Lecture Notes in Computer Science, page 335-346. Springer, (2023)Biomedical Knowledge Graph Embedding With Capsule Network for Multi-Label Drug-Drug Interaction Prediction., , , , , , and . IEEE Trans. Knowl. Data Eng., 35 (6): 5640-5651 (June 2023)Learning RNA sequence patterns to interpretably identify m6A modification sites., , , , , and . BIBM, page 1248-1253. IEEE, (2023)Fuzzy-Based Deep Attributed Graph Clustering., , , , , , and . IEEE Trans. Fuzzy Syst., 32 (4): 1951-1964 (April 2024)