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Cited by in F6Publishing
For: 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]
Number Citing Articles
1 Zhang HY, Wang L, You ZH, Hu L, Zhao BW, Li ZW, Li YM. iGRLCDA: identifying circRNA-disease association based on graph representation learning. Brief Bioinform 2022:bbac083. [PMID: 35323894 DOI: 10.1093/bib/bbac083] [Reference Citation Analysis]
2 Xiang J, Zhang J, Zhao Y, Wu FX, Li M. Biomedical data, computational methods and tools for evaluating disease-disease associations. Brief Bioinform 2022:bbac006. [PMID: 35136949 DOI: 10.1093/bib/bbac006] [Reference Citation Analysis]
3 Wang CC, Han CD, Zhao Q, Chen X. Circular RNAs and complex diseases: from experimental results to computational models. Brief Bioinform 2021:bbab286. [PMID: 34329377 DOI: 10.1093/bib/bbab286] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
4 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]
5 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]
6 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]
7 Park Y, Lee J, Moon H, Choi YS, Rho M. Discovering microbe-disease associations from the literature using a hierarchical long short-term memory network and an ensemble parser model. Sci Rep 2021;11:4490. [PMID: 33627732 DOI: 10.1038/s41598-021-83966-8] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
8 Zha Y, Ning K. Ontology-aware neural network: a general framework for pattern mining from microbiome data. Briefings in Bioinformatics. [DOI: 10.1093/bib/bbac005] [Reference Citation Analysis]