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Cited by in F6Publishing
For: Huang F, Qiu Y, Li Q, Liu S, Ni F. Predicting Drug-Disease Associations via Multi-Task Learning Based on Collective Matrix Factorization. Front Bioeng Biotechnol 2020;8:218. [PMID: 32373595 DOI: 10.3389/fbioe.2020.00218] [Cited by in Crossref: 3] [Cited by in F6Publishing: 8] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Sun G, Dong D, Dong Z, Zhang Q, Fang H, Wang C, Zhang S, Wu S, Dong Y, Wan Y. Drug repositioning: A bibliometric analysis. Front Pharmacol 2022;13:974849. [DOI: 10.3389/fphar.2022.974849] [Reference Citation Analysis]
2 Yang M, Huang ZA, Gu W, Han K, Pan W, Yang X, Zhu Z. Prediction of biomarker-disease associations based on graph attention network and text representation. Brief Bioinform 2022:bbac298. [PMID: 35901464 DOI: 10.1093/bib/bbac298] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Feng H, Xiang Y, Wang X, Xue W, Yue Z. MTAGCN: predicting miRNA-target associations in Camellia sinensis var. assamica through graph convolution neural network. BMC Bioinformatics 2022;23:271. [PMID: 35820798 DOI: 10.1186/s12859-022-04819-3] [Reference Citation Analysis]
4 Taguchi YH, Turki T. Integrated Analysis of Tissue-Specific Gene Expression in Diabetes by Tensor Decomposition Can Identify Possible Associated Diseases. Genes (Basel) 2022;13:1097. [PMID: 35741859 DOI: 10.3390/genes13061097] [Reference Citation Analysis]
5 Zhang Y, Lei X, Pan Y, Wu FX. Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks. Front Pharmacol 2022;13:872785. [PMID: 35620297 DOI: 10.3389/fphar.2022.872785] [Reference Citation Analysis]
6 Wang L, Tan Y, Yang X, Kuang L, Ping P. Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models. Brief Bioinform 2022:bbac080. [PMID: 35325024 DOI: 10.1093/bib/bbac080] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Zhao BW, Hu L, You ZH, Wang L, Su XR. HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks. Brief Bioinform 2021:bbab515. [PMID: 34891172 DOI: 10.1093/bib/bbab515] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
8 Fu H, Huang F, Liu X, Qiu Y, Zhang W. MVGCN: data integration through multi-view graph convolutional network for predicting links in biomedical bipartite networks. Bioinformatics 2021:btab651. [PMID: 34499148 DOI: 10.1093/bioinformatics/btab651] [Cited by in F6Publishing: 5] [Reference Citation Analysis]
9 Tang X, Cai L, Meng Y, Xu J, Lu C, Yang J. Indicator Regularized Non-Negative Matrix Factorization Method-Based Drug Repurposing for COVID-19. Front Immunol 2020;11:603615. [PMID: 33584672 DOI: 10.3389/fimmu.2020.603615] [Cited by in Crossref: 2] [Cited by in F6Publishing: 22] [Article Influence: 2.0] [Reference Citation Analysis]