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Cited by in F6Publishing
For: Shokhirev MN, Johnson AA. An integrative machine-learning meta-analysis of high-throughput omics data identifies age-specific hallmarks of Alzheimer's disease. Ageing Res Rev 2022;81:101721. [PMID: 36029998 DOI: 10.1016/j.arr.2022.101721] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Bairakdar MD, Tewari A, Truttmann MC. A meta-analysis of RNA-Seq studies to identify novel genes that regulate aging. Exp Gerontol 2023;173:112107. [PMID: 36731807 DOI: 10.1016/j.exger.2023.112107] [Reference Citation Analysis]
2 Kim J, Park H, Yoon Y. RNA Sequences-Based Diagnosis of Parkinson’s Disease Using Various Feature Selection Methods and Machine Learning. Applied Sciences 2023;13:2698. [DOI: 10.3390/app13042698] [Reference Citation Analysis]
3 Johnson AA, Torosin NS, Shokhirev MN, Cuellar TL. A set of common buccal CpGs that predict epigenetic age and associate with lifespan-regulating genes. iScience 2022;25:105304. [PMID: 36304118 DOI: 10.1016/j.isci.2022.105304] [Reference Citation Analysis]