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For: Hu JW, Ding GY, Fu PY, Tang WG, Sun QM, Zhu XD, Shen YH, Zhou J, Fan J, Sun HC, Huang C. Identification of FOS as a Candidate Risk Gene for Liver Cancer by Integrated Bioinformatic Analysis. Biomed Res Int 2020;2020:6784138. [PMID: 32280695 DOI: 10.1155/2020/6784138] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Xu J, Liu D, Liu Z, Yang J, Chen H. Mechanism of a Herbal Formula Associated with Prognosis and Immune Infiltration in LIHC: Transcriptomics Analysis and Molecular Dynamics Simulations. Evid Based Complement Alternat Med 2022;2022:6084321. [PMID: 35754689 DOI: 10.1155/2022/6084321] [Reference Citation Analysis]
2 Maklad A, Sedeeq M, Milevskiy MJG, Azimi I. Calcium Signalling in Medulloblastoma: An In Silico Analysis of the Expression of Calcium Regulating Genes in Patient Samples. Genes (Basel) 2021;12:1329. [PMID: 34573310 DOI: 10.3390/genes12091329] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
3 Zhang X, Wang Z, Zeng Z, Shen N, Wang B, Zhang Y, Shen H, Lu W, Wei R, Ma W, Wang C. Bioinformatic analysis identifying FGF1 gene as a new prognostic indicator in clear cell Renal Cell Carcinoma. Cancer Cell Int 2021;21:222. [PMID: 33865387 DOI: 10.1186/s12935-021-01917-9] [Cited by in F6Publishing: 3] [Reference Citation Analysis]