400 related articles for article (PubMed ID: 29443924)
1. Identification of Key Pathways and Genes in the Dynamic Progression of HCC Based on WGCNA.
Yin L; Cai Z; Zhu B; Xu C
Genes (Basel); 2018 Feb; 9(2):. PubMed ID: 29443924
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of key genes in hepatitis B associated hepatocellular carcinoma based on WGCNA.
Liu C; Dai Q; Ding Q; Wei M; Kong X
Infect Agent Cancer; 2021 Mar; 16(1):18. PubMed ID: 33726794
[TBL] [Abstract][Full Text] [Related]
4. Identification of key genes in hepatocellular carcinoma associated with exposure to TCDD and α-endosulfan by WGCNA.
Lu Y; Liu S; Sun Y; Zhao B; Xu D
Ecotoxicol Environ Saf; 2023 Mar; 252():114595. PubMed ID: 36753968
[TBL] [Abstract][Full Text] [Related]
5. Identification of the association between HMMR expression and progression of hepatocellular carcinoma via construction of a co-expression network.
Lu D; Bai X; Zou Q; Gan Z; Lv Y
Oncol Lett; 2020 Sep; 20(3):2645-2654. PubMed ID: 32765791
[TBL] [Abstract][Full Text] [Related]
6. Identifying novel biomarkers in hepatocellular carcinoma by weighted gene co-expression network analysis.
Li B; Pu K; Wu X
J Cell Biochem; 2019 Jul; 120(7):11418-11431. PubMed ID: 30746803
[TBL] [Abstract][Full Text] [Related]
7. Gene network analysis reveals a novel 22-gene signature of carbon metabolism in hepatocellular carcinoma.
Zhang J; Baddoo M; Han C; Strong MJ; Cvitanovic J; Moroz K; Dash S; Flemington EK; Wu T
Oncotarget; 2016 Aug; 7(31):49232-49245. PubMed ID: 27363021
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Low-Grade Dysplastic Nodules Revealed as the Tipping Point during Multistep Hepatocarcinogenesis by Dynamic Network Biomarkers.
Lu L; Jiang Z; Dai Y; Chen L
Genes (Basel); 2017 Oct; 8(10):. PubMed ID: 29027943
[TBL] [Abstract][Full Text] [Related]
10. Identification of 13 Key Genes Correlated With Progression and Prognosis in Hepatocellular Carcinoma by Weighted Gene Co-expression Network Analysis.
Gu Y; Li J; Guo D; Chen B; Liu P; Xiao Y; Yang K; Liu Z; Liu Q
Front Genet; 2020; 11():153. PubMed ID: 32180800
[TBL] [Abstract][Full Text] [Related]
11. A personalized approach identifies disturbed pathways and key genes in hepatitis C virus-cirrhosis with hepatocellular carcinoma.
Li YL; Zheng MX; Wang G
Eur Rev Med Pharmacol Sci; 2016 Oct; 20(20):4266-4273. PubMed ID: 27831648
[TBL] [Abstract][Full Text] [Related]
12. Identifying SLC27A5 as a potential prognostic marker of hepatocellular carcinoma by weighted gene co-expression network analysis and in vitro assays.
Zhang F; Xue M; Jiang X; Yu H; Qiu Y; Yu J; Yang F; Bao Z
Cancer Cell Int; 2021 Mar; 21(1):174. PubMed ID: 33731144
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Identification of Potential Prognostic Markers and Key Therapeutic Targets in Hepatocellular Carcinoma Using Weighted Gene Co-Expression Network Analysis: A Systems Biology Approach.
Sharifi H; Safarpour H; Moossavi M; Khorashadizadeh M
Iran J Biotechnol; 2022 Jul; 20(3):e2968. PubMed ID: 36381283
[TBL] [Abstract][Full Text] [Related]
15. G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes.
Yin L; Chang C; Xu C
Oncotarget; 2017 Sep; 8(44):76305-76317. PubMed ID: 29100313
[TBL] [Abstract][Full Text] [Related]
16. Transcriptome sequencing identified hub genes for hepatocellular carcinoma by weighted-gene co-expression analysis.
Pan Q; Long X; Song L; Zhao D; Li X; Li D; Li M; Zhou J; Tang X; Ren H; Ding K
Oncotarget; 2016 Jun; 7(25):38487-38499. PubMed ID: 27220887
[TBL] [Abstract][Full Text] [Related]
17. Strong correlation between ASPM gene expression and HCV cirrhosis progression identified by co-expression analysis.
Wang F; Chang Y; Li J; Wang H; Zhou R; Qi J; Liu J; Zhao Q
Dig Liver Dis; 2017 Jan; 49(1):70-76. PubMed ID: 27876500
[TBL] [Abstract][Full Text] [Related]
18. Identification and functional analysis of a core gene module associated with hepatitis C virus-induced human hepatocellular carcinoma progression.
Bai G; Zheng W; Ma W
Oncol Lett; 2018 May; 15(5):6815-6824. PubMed ID: 29725417
[TBL] [Abstract][Full Text] [Related]
19. Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Mou T; Zhu D; Wei X; Li T; Zheng D; Pu J; Guo Z; Wu Z
World J Surg Oncol; 2017 Mar; 15(1):63. PubMed ID: 28302149
[TBL] [Abstract][Full Text] [Related]
20. Identification of hepatocellular carcinoma-associated hub genes and pathways by integrated microarray analysis.
Liu F; Li H; Chang H; Wang J; Lu J
Tumori; 2015; 101(2):206-14. PubMed ID: 25768320
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
