235 related articles for article (PubMed ID: 33731144)
21. Identification of oncogenes and tumor-suppressor genes with hepatocellular carcinoma: A comprehensive analysis based on TCGA and GEO datasets.
Zhu Y; Wang Y; Hu M; Lu X; Sun G
Front Genet; 2022; 13():934883. PubMed ID: 36685860
[No Abstract] [Full Text] [Related]
22. 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]
23. Identification of a Potential PPAR-Related Multigene Signature Predicting Prognosis of Patients with Hepatocellular Carcinoma.
Xu W; Chen Z; Liu G; Dai Y; Xu X; Ma D; Liu L
PPAR Res; 2021; 2021():6642939. PubMed ID: 33777129
[TBL] [Abstract][Full Text] [Related]
24. Critical genes of hepatocellular carcinoma revealed by network and module analysis of RNA-seq data.
Yang MR; Zhang Y; Wu XX; Chen W
Eur Rev Med Pharmacol Sci; 2016 Oct; 20(20):4248-4256. PubMed ID: 27831650
[TBL] [Abstract][Full Text] [Related]
25. Weighted gene co-expression network analysis of the association between upregulated AMD1, EN1 and VGLL1 and the progression and poor prognosis of breast cancer.
Yang L; Li X; Luo Y; Yang T; Wang H; Shi L; Feng M; Xie W
Exp Ther Med; 2021 Sep; 22(3):1030. PubMed ID: 34373716
[TBL] [Abstract][Full Text] [Related]
26. [Differential analysis of gene expression profiles in hepatocellular carcinoma patients with high and low levels of alpha-fetoprotein].
Wang XJ; Shen RF; Wang X; Wang YR; Xiao T
Zhonghua Zhong Liu Za Zhi; 2020 May; 42(5):396-402. PubMed ID: 32482029
[No Abstract] [Full Text] [Related]
27. Identification of hub genes involved in the occurrence and development of hepatocellular carcinoma via bioinformatics analysis.
Mi N; Cao J; Zhang J; Fu W; Huang C; Gao L; Yue P; Bai B; Lin Y; Meng W; Li X
Oncol Lett; 2020 Aug; 20(2):1695-1708. PubMed ID: 32724412
[TBL] [Abstract][Full Text] [Related]
28. Identification of Potentially Therapeutic Target Genes of Hepatocellular Carcinoma.
Li C; Xu J
Int J Environ Res Public Health; 2020 Feb; 17(3):. PubMed ID: 32046048
[TBL] [Abstract][Full Text] [Related]
29. Screening and Identification of Potential Biomarkers in Hepatitis B Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis.
Zeng XC; Zhang L; Liao WJ; Ao L; Lin ZM; Kang W; Chen WN; Lin X
Front Genet; 2020; 11():555537. PubMed ID: 33193629
[TBL] [Abstract][Full Text] [Related]
30. Co-expression Network Analysis of Biomarkers for Adrenocortical Carcinoma.
Yuan L; Qian G; Chen L; Wu CL; Dan HC; Xiao Y; Wang X
Front Genet; 2018; 9():328. PubMed ID: 30158955
[TBL] [Abstract][Full Text] [Related]
31. Identification of key candidate genes and pathways in hepatocellular carcinoma by integrated bioinformatical analysis.
Xing T; Yan T; Zhou Q
Exp Ther Med; 2018 Jun; 15(6):4932-4942. PubMed ID: 29805517
[TBL] [Abstract][Full Text] [Related]
32. Identification of Hub Genes and Analysis of Prognostic Values in Hepatocellular Carcinoma by Bioinformatics Analysis.
Xu L; Tong T; Wang Z; Qiang Y; Ma F; Ma X
Am J Med Sci; 2020 Apr; 359(4):226-234. PubMed ID: 32200915
[TBL] [Abstract][Full Text] [Related]
33. Identification of biomarkers for Barcelona Clinic Liver Cancer staging and overall survival of patients with hepatocellular carcinoma.
Xu W; Rao Q; An Y; Li M; Zhang Z
PLoS One; 2018; 13(8):e0202763. PubMed ID: 30138346
[TBL] [Abstract][Full Text] [Related]
34. An epithelial-mesenchymal transition-related 5-gene signature predicting the prognosis of hepatocellular carcinoma patients.
Zhu G; Xia H; Tang Q; Bi F
Cancer Cell Int; 2021 Mar; 21(1):166. PubMed ID: 33712026
[TBL] [Abstract][Full Text] [Related]
35. Propofol regulates the progression of hepatocellular carcinoma via the POLR2L/TGF-β signaling pathway.
Chen J; Xu J; Li L; Yuan Y; Jiang J; Sun Y
Transl Cancer Res; 2024 May; 13(5):2266-2281. PubMed ID: 38881942
[TBL] [Abstract][Full Text] [Related]
36. [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]
37. Feature selection with the Fisher score followed by the Maximal Clique Centrality algorithm can accurately identify the hub genes of hepatocellular carcinoma.
Li C; Xu J
Sci Rep; 2019 Nov; 9(1):17283. PubMed ID: 31754223
[TBL] [Abstract][Full Text] [Related]
38. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.
Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W
J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391
[TBL] [Abstract][Full Text] [Related]
39. PROZ May Serve as a Prognostic Biomarker for Early Hepatocellular Carcinoma.
Jiang X; Song T; Pan X; Zhang X; Lan Y; Bai L
Int J Gen Med; 2021; 14():4209-4218. PubMed ID: 34393500
[TBL] [Abstract][Full Text] [Related]
40. Identification of Hub Genes Associated With Development and Microenvironment of Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis and Differential Gene Expression Analysis.
Bai Q; Liu H; Guo H; Lin H; Song X; Jin Y; Liu Y; Guo H; Liang S; Song R; Wang J; Qu Z; Guo H; Jiang H; Liu L; Yang H
Front Genet; 2020; 11():615308. PubMed ID: 33414813
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]