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Cited by in F6Publishing
For: Li D, Lin H, Li L. Multiple Feature Selection Strategies Identified Novel Cardiac Gene Expression Signature for Heart Failure. Front Physiol 2020;11:604241. [PMID: 33304275 DOI: 10.3389/fphys.2020.604241] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 0.7] [Reference Citation Analysis]
Number Citing Articles
1 Zhang L, Lin Y, Wang K, Han L, Zhang X, Gao X, Li Z, Zhang H, Zhou J, Yu H, Fu X. Multiple-model machine learning identifies potential functional genes in dilated cardiomyopathy. Front Cardiovasc Med 2022;9:1044443. [PMID: 36712235 DOI: 10.3389/fcvm.2022.1044443] [Reference Citation Analysis]
2 Wang J, Xie S, Cheng Y, Li X, Chen J, Zhu M. Identification of potential biomarkers of inflammation-related genes for ischemic cardiomyopathy. Front Cardiovasc Med 2022;9. [DOI: 10.3389/fcvm.2022.972274] [Reference Citation Analysis]
3 Song H, Chen S, Zhang T, Huang X, Zhang Q, Li C, Chen C, Chen S, Liu D, Wang J, Tu Y, Wu Y, Liu Y. Integrated Strategies of Diverse Feature Selection Methods Identify Aging-Based Reliable Gene Signatures for Ischemic Cardiomyopathy. Front Mol Biosci 2022;9:805235. [DOI: 10.3389/fmolb.2022.805235] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Wang T, Tian J, Jin Y. VCAM1 expression in the myocardium is associated with the risk of heart failure and immune cell infiltration in myocardium. Sci Rep 2021;11:19488. [PMID: 34593936 DOI: 10.1038/s41598-021-98998-3] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]