830 related articles for article (PubMed ID: 29962817)
21. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
[TBL] [Abstract][Full Text] [Related]
22. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
Tang Y; Zhang Y; Hu X
Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
[TBL] [Abstract][Full Text] [Related]
23. Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
Li L; Lei Q; Zhang S; Kong L; Qin B
Oncol Rep; 2017 Nov; 38(5):2607-2618. PubMed ID: 28901457
[TBL] [Abstract][Full Text] [Related]
24. Aberrantly methylated-differentially expressed genes and pathways in Epstein-Barr virus-associated gastric cancer.
Jing JJ; Li H; Wang ZY; Zhou H; Sun LP; Yuan Y
Future Oncol; 2020 Feb; 16(6):187-197. PubMed ID: 31989840
[No Abstract] [Full Text] [Related]
25. Bioinformatics analysis of key biomarkers and potential molecular mechanisms in hepatocellular carcinoma induced by hepatitis B virus.
Li Z; Xu J; Cui H; Song J; Chen J; Wei J
Medicine (Baltimore); 2020 May; 99(20):e20302. PubMed ID: 32443377
[TBL] [Abstract][Full Text] [Related]
26. Bioinformatics analysis of different candidate genes involved in hepatocellular carcinoma induced by HepG2 cells or tumor cells of patients.
Zhang X; Yin S; Ma K
J Int Med Res; 2020 Jun; 48(6):300060520932112. PubMed ID: 32567431
[TBL] [Abstract][Full Text] [Related]
27. Identification of 5 Hub Genes Related to the Early Diagnosis, Tumour Stage, and Poor Outcomes of Hepatitis B Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis.
Qiang R; Zhao Z; Tang L; Wang Q; Wang Y; Huang Q
Comput Math Methods Med; 2021; 2021():9991255. PubMed ID: 34603487
[TBL] [Abstract][Full Text] [Related]
28. Bioinformatics identification of crucial genes and pathways associated with hepatocellular carcinoma.
Gao X; Wang X; Zhang S
Biosci Rep; 2018 Dec; 38(6):. PubMed ID: 30341252
[TBL] [Abstract][Full Text] [Related]
29. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
[TBL] [Abstract][Full Text] [Related]
30. Bioinformatics Analysis of Key Genes and Pathways Associated with Thrombosis in Essential Thrombocythemia.
Guo C; Li Z
Med Sci Monit; 2019 Dec; 25():9262-9271. PubMed ID: 31801935
[TBL] [Abstract][Full Text] [Related]
31. CDK1, CCNB1, CDC20, BUB1, MAD2L1, MCM3, BUB1B, MCM2, and RFC4 May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.
Yang WX; Pan YY; You CG
Biomed Res Int; 2019; 2019():1245072. PubMed ID: 31737652
[TBL] [Abstract][Full Text] [Related]
32. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
33. Screening and Functional Prediction of Key Candidate Genes in Hepatitis B Virus-Associated Hepatocellular Carcinoma.
Chen X; Liao L; Li Y; Huang H; Huang Q; Deng S
Biomed Res Int; 2020; 2020():7653506. PubMed ID: 33102593
[TBL] [Abstract][Full Text] [Related]
34. Integrated Bioinformatics Analysis for the Screening of Hub Genes and Therapeutic Drugs in Hepatocellular Carcinoma.
Su Q; Li W; Zhang X; Wu R; Zheng K; Zhou T; Dong Y; He Y; Wang D; Ran J
Curr Pharm Biotechnol; 2023; 24(8):1035-1058. PubMed ID: 35762549
[TBL] [Abstract][Full Text] [Related]
35. Using Integrated Bioinformatics Analysis to Identify Abnormally Methylated Differentially Expressed Genes in Hepatocellular Carcinoma.
Chen QL; Yan Q; Feng KL; Xie CF; Fang CK; Wang JN; Liu LH; Li Y; Zhong C
Int J Gen Med; 2021; 14():805-823. PubMed ID: 33732011
[TBL] [Abstract][Full Text] [Related]
36. Identifying hub genes and dysregulated pathways in hepatocellular carcinoma.
Jin B; Wang W; Du G; Huang GZ; Han LT; Tang ZY; Fan DG; Li J; Zhang SZ
Eur Rev Med Pharmacol Sci; 2015 Feb; 19(4):592-601. PubMed ID: 25753876
[TBL] [Abstract][Full Text] [Related]
37. Identification of candidate aberrantly methylated and differentially expressed genes in thyroid cancer.
Tu Y; Fan G; Xi H; Zeng T; Sun H; Cai X; Kong W
J Cell Biochem; 2018 Nov; 119(11):8797-8806. PubMed ID: 30069928
[TBL] [Abstract][Full Text] [Related]
38. Identification of Core Genes and Key Pathways via Integrated Analysis of Gene Expression and DNA Methylation Profiles in Bladder Cancer.
Zhang Y; Fang L; Zang Y; Xu Z
Med Sci Monit; 2018 May; 24():3024-3033. PubMed ID: 29739919
[TBL] [Abstract][Full Text] [Related]
39. Comprehensive analyses of DNA methylation and gene expression profiles of Kawasaki disease.
Chang D; Qian C; Li H; Feng H
J Cell Biochem; 2019 Aug; 120(8):13001-13011. PubMed ID: 30861201
[TBL] [Abstract][Full Text] [Related]
40. [Screening core genes and cyclin B2 as a potential diagnosis, treatment and prognostic biomarker of hepatocellular carcinoma based on bioinformatics analysis].
Yang SY; Ren H; Li CF; Tang H
Zhonghua Gan Zang Bing Za Zhi; 2020 Sep; 28(9):773-783. PubMed ID: 33053978
[No Abstract] [Full Text] [Related]
[Previous] [Next] [New Search]
