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For: Ji Y, Yin Y, Zhang W. Integrated Bioinformatic Analysis Identifies Networks and Promising Biomarkers for Hepatitis B Virus-Related Hepatocellular Carcinoma. Int J Genomics 2020;2020:2061024. [PMID: 32775402 DOI: 10.1155/2020/2061024] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Parihar A, Malviya S, Khan R. Identification of Biomarkers Associated with Cancer Using Integrated Bioinformatic Analysis. Biomedical Engineering 2022. [DOI: 10.5772/intechopen.101432] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Gongye X, Tian M, Xia P, Qu C, Chen Z, Wang J, Zhu Q, Li Z, Yuan Y. Multi-omics analysis revealed the role of extracellular vesicles in hepatobiliary & pancreatic tumor. J Control Release 2022;350:11-25. [PMID: 35963466 DOI: 10.1016/j.jconrel.2022.08.010] [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 Qiu X, Hua X, Li Q, Zhou Q, Chen J. m6A Regulator-Mediated Methylation Modification Patterns and Characteristics of Immunity in Blood Leukocytes of COVID-19 Patients. Front Immunol 2021;12:774776. [PMID: 34917088 DOI: 10.3389/fimmu.2021.774776] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
5 Huang G, Wang C, Fu X. Bidirectional deep neural networks to integrate RNA and DNA data for predicting outcome for patients with hepatocellular carcinoma. Future Oncol 2021. [PMID: 34374301 DOI: 10.2217/fon-2021-0659] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
6 Wang J, Wang Y, Xu J, Song Q, Shangguan J, Xue M, Wang H, Gan J, Gao W. Global analysis of gene expression signature and diagnostic/prognostic biomarker identification of hepatocellular carcinoma. Sci Prog 2021;104:368504211029429. [PMID: 34315286 DOI: 10.1177/00368504211029429] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
7 Zhang Y, Tang Y, Guo C, Li G. Integrative analysis identifies key mRNA biomarkers for diagnosis, prognosis, and therapeutic targets of HCV-associated hepatocellular carcinoma. Aging (Albany NY) 2021;13:12865-95. [PMID: 33946043 DOI: 10.18632/aging.202957] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
8 Zhang P, Feng J, Wu X, Chu W, Zhang Y, Li P. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases. Pathol Oncol Res 2021;27:588532. [PMID: 34257537 DOI: 10.3389/pore.2021.588532] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 2.5] [Reference Citation Analysis]
9 Zhu W, Ru L, Ma Z. Identification of a Novel Four-Gene Signature Correlated With the Prognosis of Patients With Hepatocellular Carcinoma: A Comprehensive Analysis. Front Oncol 2021;11:626654. [PMID: 33777771 DOI: 10.3389/fonc.2021.626654] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]