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For: Song Y, Tang W, Li H. Identification of KIF4A and its effect on the progression of lung adenocarcinoma based on the bioinformatics analysis. Biosci Rep 2021;41:BSR20203973. [PMID: 33398330 DOI: 10.1042/BSR20203973] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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1 Singharajkomron N, Yodsurang V, Seephan S, Kungsukool S, Petchjorm S, Maneeganjanasing N, Promboon W, Dangwilailuck W, Pongrakhananon V. Evaluating the Expression and Prognostic Value of Genes Encoding Microtubule-Associated Proteins in Lung Cancer. IJMS 2022;23:14724. [DOI: 10.3390/ijms232314724] [Reference Citation Analysis]
2 Liu P, Li H, Liao C, Tang Y, Li M, Wang Z, Wu Q, Zhou Y. Identification of key genes and biological pathways in Chinese lung cancer population using bioinformatics analysis. PeerJ 2022;10:e12731. [DOI: 10.7717/peerj.12731] [Reference Citation Analysis]
3 Hasan MI, Rahman MH, Islam MB, Islam MZ, Hossain MA, Moni MA. Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19. Inform Med Unlocked 2022;28:100840. [PMID: 34981034 DOI: 10.1016/j.imu.2021.100840] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
4 Shi J, Chen Y, Wang Z, Guo J, Tong C, Tong J, Hu W, Li C, Li X. Comprehensive Bioinformatics Analysis to Identify the Gene HMMR Associated With Lung Adenocarcinoma Prognosis and Its Mechanism of Action in Multiple Cancers. Front Oncol 2021;11:712795. [PMID: 34692489 DOI: 10.3389/fonc.2021.712795] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]