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Cited by in F6Publishing
For: Niu YW, Qu CQ, Wang GH, Yan GY. RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction. Front Microbiol 2019;10:1578. [PMID: 31354672 DOI: 10.3389/fmicb.2019.01578] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
Number Citing Articles
1 Ma Y, Liu Q. Generalized matrix factorization based on weighted hypergraph learning for microbe-drug association prediction. Computers in Biology and Medicine 2022;145:105503. [DOI: 10.1016/j.compbiomed.2022.105503] [Reference Citation Analysis]
2 Battiston F, Cencetti G, Iacopini I, Latora V, Lucas M, Patania A, Young J, Petri G. Networks beyond pairwise interactions: Structure and dynamics. Physics Reports 2020;874:1-92. [DOI: 10.1016/j.physrep.2020.05.004] [Cited by in Crossref: 91] [Cited by in F6Publishing: 15] [Article Influence: 45.5] [Reference Citation Analysis]
3 Lei X, Wang Y. Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network. Front Microbiol 2020;11:579. [PMID: 32351464 DOI: 10.3389/fmicb.2020.00579] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
4 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] [Reference Citation Analysis]
5 Zhao Y, Wang CC, Chen X. Microbes and complex diseases: from experimental results to computational models. Brief Bioinform 2021;22:bbaa158. [PMID: 32766753 DOI: 10.1093/bib/bbaa158] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
6 Xu D, Xu H, Zhang Y, Gao R. Novel Collaborative Weighted Non-negative Matrix Factorization Improves Prediction of Disease-Associated Human Microbes. Front Microbiol 2022;13:834982. [DOI: 10.3389/fmicb.2022.834982] [Reference Citation Analysis]
7 Wang Y, Lei X, Pan Y. Predicting Microbe‐Disease Association Based on Heterogeneous Network and Global Graph Feature Learning. Chinese J of Electronics 2022;31:345-53. [DOI: 10.1049/cje.2020.00.212] [Reference Citation Analysis]
8 Wen Z, Yan C, Duan G, Li S, Wu FX, Wang J. A survey on predicting microbe-disease associations: biological data and computational methods. Brief Bioinform 2021;22:bbaa157. [PMID: 34020541 DOI: 10.1093/bib/bbaa157] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
9 Xu D, Xu H, Zhang Y, Wang M, Chen W, Gao R. MDAKRLS: Predicting human microbe-disease association based on Kronecker regularized least squares and similarities. J Transl Med 2021;19:66. [PMID: 33579301 DOI: 10.1186/s12967-021-02732-6] [Reference Citation Analysis]