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IMKPse: Identification of Protein Malonylation Sites by the Key Features Into General PseAAC., , , , , , and . IEEE Access, (2019)Classifying protein sequences using hydropathy blocks., , , and . Pattern Recognit., 39 (12): 2293-2300 (2006)A Gene Selection Method for Microarray Data Based on Binary PSO Encoding Gene-to-Class Sensitivity Information., , , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 14 (1): 85-96 (2017)LMMO: A Large Margin Approach for Refining Regulatory Motifs., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 15 (3): 913-925 (2018)Guest Editorial for Special Section on the 14th International Conference on Intelligent Computing (ICIC)., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (5): 1474-1475 (2020)Guest Editorial for Special Section on the 13th International Conference on Intelligent Computing (ICIC)., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 16 (3): 749-750 (2019)Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape., , and . IEEE ACM Trans. Comput. Biol. Bioinform., 18 (2): 667-676 (2021)Identifying Spurious Interactions in the Protein-Protein Interaction Networks Using Local Similarity Preserving Embedding., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 14 (2): 345-352 (2017)Weakly-Supervised Convolutional Neural Network Architecture for Predicting Protein-DNA Binding., , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 17 (2): 679-689 (2020)Recent development on intelligent computing.. Neurocomputing, (2022)