publications
publications by categories in reversed chronological order. generated by jekyll-scholar.
2023
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CIBMRm-LR: A long-range-based deep learning model for predicting multiple types of RNA modificationsComputers in Biology and Medicine, 2023
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CIBMDrugormerDTI: Drug Graphormer for drug–target interaction predictionComputers in Biology and Medicine, 2023
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JCIMCACPP: A Contrastive Learning-Based Siamese Network to Identify Anticancer Peptides Based on Sequence OnlyJournal of Chemical Information and Modeling, 2023
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AdvancedScienceExplainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure PredictionADVANCED SCIENCE, 2023
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NARDeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysisNUCLEIC ACIDS RESEARCH, 2023
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BioinformaticsExamPle: explainable deep learning framework for the prediction of plant small secreted peptidesBioinformatics, 2023
2022
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BIBSiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learningBRIEFINGS IN BIOINFORMATICS, 2022
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Genome BiologyiDNA-ABF: multi-scale deep biological language learning model for the interpretable prediction of DNA methylationsGENOME BIOLOGY, 2022
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BioinformaticsPredicting protein-peptide binding residues via interpretable deep learningBioinformatics, 2022
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MethodsMouse4mC-BGRU: Deep learning for predicting DNA N4-methylcytosine sites in mouse genomeMETHODS, 2022
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BIBAccelerating bioactive peptide discovery via mutual information-based meta-learningBRIEFINGS IN BIOINFORMATICS, 2022
2021
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BioinformaticsiDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximizationBIOINFORMATICS, 2021