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Methods (San Diego, Calif.)|March 20, 2025
Multitask learning model for predicting non-coding RNA-disease associations: Incorporating local and global contextXiaohan Li, Guohua Wang, Dan Li, et al.Bioinformatics (Oxford, England)|October 26, 2024
Improving ncRNA family prediction using multi-modal contrastive learning of sequence and structureRuiting Xu, Dan Li, Wen Yang, et al.Briefings in Bioinformatics|March 17, 2023
miProBERT: identification of microRNA promoters based on the pre-trained model BERTXin Wang, Xin Gao, Guohua Wang, et al.Bioinformatics (Oxford, England)|May 12, 2021
Evaluating disease similarity based on gene network reconstruction and representationYang Li, Wang Keqi, Guohua WangBioinformatics (Oxford, England)|September 23, 2024
Causal enhanced drug-target interaction prediction based on graph generation and multi-source information fusionGuanyu Qiao, Guohua Wang, Yang LiActa Histochemica|January 28, 2014
Antagonism of microRNA-99a promotes cell invasion and down-regulates E-cadherin expression in pancreatic cancer cells by regulating mammalian target of rapamycinDan Li, Xiaohan Li, Wei Cao, et al.Bioinformatics (Oxford, England)|August 23, 2025
MolPrompt: Improving multi-modal molecular pre-training with knowledge promptsYang Li, Chang Liu, Xin Gao, et al.Bioinformatics (Oxford, England)|November 9, 2025
PLiSAGE: enhancing protein-ligand interaction prediction with multimodal surface and geometry encodingTianci Wang, Guanyu Qiao, Guohua Wang, et al.Methods (San Diego, Calif.)|February 15, 2024
GSL-DTI: Graph structure learning network for Drug-Target interaction predictionZixuan E, Guanyu Qiao, Guohua Wang, et al.Briefings in Bioinformatics|October 18, 2021
Drug-target interaction predication via multi-channel graph neural networksYang Li, Guanyu Qiao, Keqi Wang, et al.Pageof 2,574