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Predicting RNA-protein binding sites and motifs through combining local and global deep convolutional neural networks., и . Bioinform., 34 (20): 3427-3436 (2018)IEEE Access Special Section: Sequential Data Modeling and Its Emerging Applications., , , , , и . IEEE Access, (2020)Molecule Generation for Drug Design: a Graph Learning Perspective., , , , , и . CoRR, (2022)MDGF-MCEC: a multi-view dual attention embedding model with cooperative ensemble learning for CircRNA-disease association prediction., , , , , , , и . Briefings Bioinform., (2022)Recognizing binding sites of poorly characterized RNA-binding proteins on circular RNAs using attention Siamese network., , , и . Briefings Bioinform., (2021)ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity., , , , , , и . Bioinform., 36 (21): 5159-5168 (2021)De novodrug design by iterative multiobjective deep reinforcement learning with graph-based molecular quality assessment., , и . Bioinform., (апреля 2023)Protein-ligand binding residue prediction enhancement through hybrid deep heterogeneous learning of sequence and structure data., , и . Bioinform., 36 (10): 3018-3027 (2020)Highly Efficient Method to Recover Silver from Discarded Plasma Display Panels., , , , и . ICDMA, стр. 471-476. IEEE Computer Society, (2012)Identifying Essential Signature Genes and Expression Rules Associated With Distinctive Development Stages of Early Embryonic Cells., , , , , и . IEEE Access, (2019)