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Author Details

Wen Zhang
College of Informatics, Huazhong Agricultural University
2008
49
24
PMIDPaper TitleJournal TitlePublished Year
32886613Predicting Coding Potential of RNA Sequences by Solving Local Data Imbalance.IEEE/ACM Trans Comput Biol Bioinform2022
34003753A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection.IEEE/ACM Trans Comput Biol Bioinform2022
32886613Predicting Coding Potential of RNA Sequences by Solving Local Data Imbalance.IEEE/ACM Trans Comput Biol Bioinform2022
34727569GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction.Brief Bioinform2022
34499148MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks.Bioinformatics2022
34375284A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs.IEEE/ACM Trans Comput Biol Bioinform2022
35095506MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network.Front Pharmacol2022
34875683SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.Brief Bioinform2022
34473626EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning.IEEE/ACM Trans Comput Biol Bioinform2022
34472593PHIAF: prediction of phage-host interactions with GAN-based data augmentation and sequence-based feature fusion.Brief Bioinform2022
35095506MiRNA-Drug Resistance Association Prediction Through the Attentive Multimodal Graph Convolutional Network.Front Pharmacol2022
34875683SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.Brief Bioinform2022
34473626EPIHC: Improving Enhancer-Promoter Interaction Prediction by Using Hybrid Features and Communicative Learning.IEEE/ACM Trans Comput Biol Bioinform2022
34499148MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks.Bioinformatics2022
34472593PHIAF: prediction of phage-host interactions with GAN-based data augmentation and sequence-based feature fusion.Brief Bioinform2022
34727569GraphCDR: a graph neural network method with contrastive learning for cancer drug response prediction.Brief Bioinform2022
34375284A Multimodal Framework for Improving in Silico Drug Repositioning With the Prior Knowledge From Knowledge Graphs.IEEE/ACM Trans Comput Biol Bioinform2022
34003753A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection.IEEE/ACM Trans Comput Biol Bioinform2022
31369383A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations.IEEE/ACM Trans Comput Biol Bioinform2021
34276801ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation.Front Genet2021
33078832Predicting drug-disease associations through layer attention graph convolutional network.Brief Bioinform2021
32725161Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations.Brief Bioinform2021
31369383A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations.IEEE/ACM Trans Comput Biol Bioinform2021
34276801ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation.Front Genet2021
33078832Predicting drug-disease associations through layer attention graph convolutional network.Brief Bioinform2021
32725161Tensor decomposition with relational constraints for predicting multiple types of microRNA-disease associations.Brief Bioinform2021
31410488ncRNA-eQTL: a database to systematically evaluate the effects of SNPs on non-coding RNA expression across cancer types.Nucleic Acids Res2020
31584634Graph embedding on biomedical networks: methods, applications and evaluations.Bioinformatics2020
32407508A multimodal deep learning framework for predicting drug-drug interaction events.Bioinformatics2020
33525093Feature selection based on fuzzy joint mutual information maximization.Math Biosci Eng2020
33334320Predicting Long non-coding RNAs through feature ensemble learning.BMC Genomics2020
33334307Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction.BMC Genomics2020
32497603Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning.Methods2020
31410488ncRNA-eQTL: a database to systematically evaluate the effects of SNPs on non-coding RNA expression across cancer types.Nucleic Acids Res2020
33525093Feature selection based on fuzzy joint mutual information maximization.Math Biosci Eng2020
33334320Predicting Long non-coding RNAs through feature ensemble learning.BMC Genomics2020
33334307Graph embedding ensemble methods based on the heterogeneous network for lncRNA-miRNA interaction prediction.BMC Genomics2020
32497603Predicting drug-drug interactions using multi-modal deep auto-encoders based network embedding and positive-unlabeled learning.Methods2020
32407508A multimodal deep learning framework for predicting drug-drug interaction events.Bioinformatics2020
31584634Graph embedding on biomedical networks: methods, applications and evaluations.Bioinformatics2020
31068972An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules.Front Genet2019
31856716LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination.BMC Genomics2019
30129407Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction.Curr Drug Metab2019
31510919A network embedding-based multiple information integration method for the MiRNA-disease association prediction.BMC Bioinformatics2019
31484412PredLnc-GFStack: A Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts.Genes (Basel)2019
31068972An Ensemble Strategy to Predict Prognosis in Ovarian Cancer Based on Gene Modules.Front Genet2019
31856716LncRNA-miRNA interaction prediction through sequence-derived linear neighborhood propagation method with information combination.BMC Genomics2019
30129407Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction.Curr Drug Metab2019
31484412PredLnc-GFStack: A Global Sequence Feature Based on a Stacked Ensemble Learning Method for Predicting lncRNAs from Transcripts.Genes (Basel)2019
31510919A network embedding-based multiple information integration method for the MiRNA-disease association prediction.BMC Bioinformatics2019
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Collaborators

Xiang Yue
The Ohio State University.
Co-authored papers 8
Shikui Tu
Co-authored papers 2
Xiaopeng Zhu
Co-authored papers 2
Zhiping Weng
University of Massachusetts Medical School
Co-authored papers 1
Simon Lin
The Research Institute at Nationwide Children's Hospital
Co-authored papers 1
Yungui Huang
Research Institute at Nationwide Childrens Hospital, University of Iowa
Co-authored papers 1
Parthasarathy Srinivasan
Rela Hospital
Co-authored papers 1
Soheil Moosavinasab
The Research Institute at Nationwide Children's Hospital
Co-authored papers 1
Jingong Huang
The Ohio State University
Co-authored papers 1
Junko Tsuji
Co-authored papers 1
Zhen Wang
Co-authored papers 1
Yutao Fu
Co-authored papers 1
Release 1.2