259 related articles for article (PubMed ID: 27052251)
1. Transcriptional modules related to hepatocellular carcinoma survival: coexpression network analysis.
Xu X; Zhou Y; Miao R; Chen W; Qu K; Pang Q; Liu C
Front Med; 2016 Jun; 10(2):183-90. PubMed ID: 27052251
[TBL] [Abstract][Full Text] [Related]
2. Identification of 40S ribosomal protein S8 as a novel biomarker for alcohol‑associated hepatocellular carcinoma using weighted gene co‑expression network analysis.
Bi N; Sun Y; Lei S; Zeng Z; Zhang Y; Sun C; Yu C
Oncol Rep; 2020 Aug; 44(2):611-627. PubMed ID: 32627011
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Potential targets and molecular mechanism of miR-331-3p in hepatocellular carcinoma identified by weighted gene coexpression network analysis.
Chi Q; Geng X; Xu K; Wang C; Zhao H
Biosci Rep; 2020 Jun; 40(6):. PubMed ID: 32537629
[TBL] [Abstract][Full Text] [Related]
5. Identification of Potential Gene Network Associated with HCV-Related Hepatocellular Carcinoma Using Microarray Analysis.
Cheng Y; Ping J; Chen J
Pathol Oncol Res; 2018 Jul; 24(3):507-514. PubMed ID: 28669080
[TBL] [Abstract][Full Text] [Related]
6. Network-Based Coexpression Analysis Identifies Functional and Prognostic Long Noncoding RNAs in Hepatocellular Carcinoma.
Li J; Zhou J; Kai S; Wang C; Wang D; Jiang J
Biomed Res Int; 2020; 2020():1371632. PubMed ID: 33083449
[TBL] [Abstract][Full Text] [Related]
7. Five Core Genes Related to the Progression and Prognosis of Hepatocellular Carcinoma Identified by Analysis of a Coexpression Network.
Kong J; Wang T; Zhang Z; Yang X; Shen S; Wang W
DNA Cell Biol; 2019 Dec; 38(12):1564-1576. PubMed ID: 31633379
[TBL] [Abstract][Full Text] [Related]
8. Identification of Key Biological Processes, Pathways, Networks, and Genes with Potential Prognostic Values in Hepatocellular Carcinoma Using a Bioinformatics Approach.
Lu H; Zhu Q
Cancer Biother Radiopharm; 2021 Dec; 36(10):837-849. PubMed ID: 32598174
[No Abstract] [Full Text] [Related]
9. 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]
10. Comparative analysis of hepatocellular carcinoma and cirrhosis gene expression profiles.
Jiang M; Zeng Q; Dai S; Liang H; Dai F; Xie X; Lu K; Gao C
Mol Med Rep; 2017 Jan; 15(1):380-386. PubMed ID: 27959423
[TBL] [Abstract][Full Text] [Related]
11. Identification of key pathways and genes in different types of chronic kidney disease based on WGCNA.
Guo Y; Ma J; Xiao L; Fang J; Li G; Zhang L; Xu L; Lai X; Pan G; Chen Z
Mol Med Rep; 2019 Sep; 20(3):2245-2257. PubMed ID: 31257514
[TBL] [Abstract][Full Text] [Related]
12. 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]
13.
Zeng Y; He H; Zhang Y; Wang X; Yang L; An Z
Biomed Res Int; 2020; 2020():4612158. PubMed ID: 32685486
[TBL] [Abstract][Full Text] [Related]
14. Identification of specific modules and significant genes associated with colon cancer by weighted gene co‑expression network analysis.
Feng Y; Li Y; Li L; Wang X; Chen Z
Mol Med Rep; 2019 Jul; 20(1):693-700. PubMed ID: 31180534
[TBL] [Abstract][Full Text] [Related]
15. Gene coexpression network analysis identifies hubs in hepatitis B virus-associated hepatocellular carcinoma.
Wang SY; Huang YH; Liang YJ; Wu JC
J Chin Med Assoc; 2022 Oct; 85(10):972-980. PubMed ID: 35801949
[TBL] [Abstract][Full Text] [Related]
16. Co-expression network analysis identified six hub genes in association with metastasis risk and prognosis in hepatocellular carcinoma.
Chen P; Wang F; Feng J; Zhou R; Chang Y; Liu J; Zhao Q
Oncotarget; 2017 Jul; 8(30):48948-48958. PubMed ID: 28430663
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Identification of Hub Genes in Hepatocellular Carcinoma Related to Progression and Prognosis by Weighted Gene Co-Expression Network Analysis.
Li J; Wang X; Yang J; Zhao S; Liu T; Wang L
Med Sci Monit; 2020 Mar; 26():e920854. PubMed ID: 32200387
[TBL] [Abstract][Full Text] [Related]
19. Comprehensive Molecular Analyses of a Macrophage-Related Gene Signature With Regard to Prognosis, Immune Features, and Biomarkers for Immunotherapy in Hepatocellular Carcinoma Based on WGCNA and the LASSO Algorithm.
Wang T; Dai L; Shen S; Yang Y; Yang M; Yang X; Qiu Y; Wang W
Front Immunol; 2022; 13():843408. PubMed ID: 35693827
[TBL] [Abstract][Full Text] [Related]
20. Identification of candidate target genes for human peripheral arterial disease using weighted gene co‑expression network analysis.
Yin DX; Zhao HM; Sun DJ; Yao J; Ding DY
Mol Med Rep; 2015 Dec; 12(6):8107-12. PubMed ID: 26498853
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]