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Briefings in Bioinformatics|June 16, 2023
MPCLCDA: predicting circRNA-disease associations by using automatically selected meta-path and contrastive learningWei Liu, Ting Tang, Xu Lu, et al.Briefings in Bioinformatics|April 20, 2023
NSRGRN: a network structure refinement method for gene regulatory network inferenceWei Liu, Yu Yang, Xu Lu, et al.Briefings in Bioinformatics|May 9, 2022
RNMFLP: Predicting circRNA-disease associations based on robust nonnegative matrix factorization and label propagationLi Peng, Cheng Yang, Li Huang, et al.Briefings in Bioinformatics|May 13, 2022
NSCGRN: a network structure control method for gene regulatory network inferenceWei Liu, Xingen Sun, Li Yang, et al.Frontiers in Bioengineering and Biotechnology|March 15, 2021
Prediction of lncRNA-Protein Interactions via the Multiple Information IntegrationYifan Chen, Xiangzheng Fu, Zejun Li, et al.Bioinformatics (Oxford, England)|October 29, 2020
iEnhancer-XG: interpretable sequence-based enhancers and their strength predictorLijun Cai, Xuanbai Ren, Xiangzheng Fu, et al.Briefings in Bioinformatics|November 15, 2022
DAESTB: inferring associations of small molecule-miRNA via a scalable tree boosting model based on deep autoencoderLi Peng, Yuan Tu, Li Huang, et al.BMC Biology|May 9, 2025
Leveraging explainable multi-scale features for fine-grained circRNA-miRNA interaction predictionLi Peng, Wang Wang, Zongyi Yang, et al.Briefings in Bioinformatics|March 24, 2022
Identification of miRNA-disease associations via deep forest ensemble learning based on autoencoderWei Liu, Hui Lin, Li Huang, et al.Journal of Chemical Information and Modeling|February 12, 2025
metaCDA: A Novel Framework for CircRNA-Driven Drug Discovery Utilizing Adaptive Aggregation and Meta-Knowledge LearningLi Peng, Huaping Li, Sisi Yuan, et al.Pageof 3,341