294 related articles for article (PubMed ID: 28713927)
1. Classifier of cross talk genes predicts the prognosis of hepatocellular carcinoma.
Zhai X; Xue Q; Liu Q; Guo Y; Chen Z
Mol Med Rep; 2017 Sep; 16(3):3253-3261. PubMed ID: 28713927
[TBL] [Abstract][Full Text] [Related]
2. Potential role of microRNA‑223‑3p in the tumorigenesis of hepatocellular carcinoma: A comprehensive study based on data mining and bioinformatics.
Zhang R; Zhang LJ; Yang ML; Huang LS; Chen G; Feng ZB
Mol Med Rep; 2018 Feb; 17(2):2211-2228. PubMed ID: 29207133
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Identifying hepatocellular carcinoma-related hub genes by bioinformatics analysis and CYP2C8 is a potential prognostic biomarker.
Li C; Zhou D; Jiang X; Liu M; Tang H; Mei Z
Gene; 2019 May; 698():9-18. PubMed ID: 30825595
[TBL] [Abstract][Full Text] [Related]
5. Prognosis genes in gastric adenocarcinoma identified by cross talk genes in disease‑related pathways.
Zhao L; Lei H; Shen L; Tang J; Wang Z; Bai W; Zhang F; Wang S; Li W
Mol Med Rep; 2017 Aug; 16(2):1232-1240. PubMed ID: 28586067
[TBL] [Abstract][Full Text] [Related]
6. Prediction and analysis of weighted genes in hepatocellular carcinoma using bioinformatics analysis.
Zhang Q; Sun S; Zhu C; Zheng Y; Cai Q; Liang X; Xie H; Zhou J
Mol Med Rep; 2019 Apr; 19(4):2479-2488. PubMed ID: 30720105
[TBL] [Abstract][Full Text] [Related]
7. Identification of potential hub genes related to the progression and prognosis of hepatocellular carcinoma through integrated bioinformatics analysis.
Song X; Du R; Gui H; Zhou M; Zhong W; Mao C; Ma J
Oncol Rep; 2020 Jan; 43(1):133-146. PubMed ID: 31746405
[TBL] [Abstract][Full Text] [Related]
8. Expression of the Long Intergenic Non-Protein Coding RNA 665 (LINC00665) Gene and the Cell Cycle in Hepatocellular Carcinoma Using The Cancer Genome Atlas, the Gene Expression Omnibus, and Quantitative Real-Time Polymerase Chain Reaction.
Wen DY; Lin P; Pang YY; Chen G; He Y; Dang YW; Yang H
Med Sci Monit; 2018 May; 24():2786-2808. PubMed ID: 29728556
[TBL] [Abstract][Full Text] [Related]
9. [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]
10. Weighted correlation gene network analysis reveals a new stemness index-related survival model for prognostic prediction in hepatocellular carcinoma.
Zhang Q; Wang J; Liu M; Zhu Q; Li Q; Xie C; Han C; Wang Y; Gao M; Liu J
Aging (Albany NY); 2020 Jul; 12(13):13502-13517. PubMed ID: 32644941
[TBL] [Abstract][Full Text] [Related]
11. Identification of Hepatocellular Carcinoma-Related Potential Genes and Pathways Through Bioinformatic-Based Analyses.
Wan Z; Zhang X; Luo Y; Zhao B
Genet Test Mol Biomarkers; 2019 Nov; 23(11):766-777. PubMed ID: 31633428
[No Abstract] [Full Text] [Related]
12. 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]
13. 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]
14. Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing.
Liu Y; Yang Z; Du F; Yang Q; Hou J; Yan X; Geng Y; Zhao Y; Wang H
Mol Med Rep; 2017 Nov; 16(5):6674-6682. PubMed ID: 28901494
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Analysis of potential key genes in very early hepatocellular carcinoma.
Wu M; Liu Z; Li X; Zhang A; Lin D; Li N
World J Surg Oncol; 2019 May; 17(1):77. PubMed ID: 31043166
[TBL] [Abstract][Full Text] [Related]
17. Construction of a risk score prognosis model based on hepatocellular carcinoma microenvironment.
Zhang FP; Huang YP; Luo WX; Deng WY; Liu CQ; Xu LB; Liu C
World J Gastroenterol; 2020 Jan; 26(2):134-153. PubMed ID: 31969776
[TBL] [Abstract][Full Text] [Related]
18. Bioinformatics analysis of gene expression profiles in hepatocellular carcinoma.
Shangguan H; Tan SY; Zhang JR
Eur Rev Med Pharmacol Sci; 2015; 19(11):2054-61. PubMed ID: 26125269
[TBL] [Abstract][Full Text] [Related]
19. Bioinformatic Analysis to Identify a Multi-mRNA Signature for the Prediction of Metastasis in Hepatocellular Carcinoma.
Liu L; Wang B; Han Q; Zhen C; Li J; Qu X; Wang F; Kong X; Zheng L
DNA Cell Biol; 2020 Nov; 39(11):2028-2039. PubMed ID: 33147069
[TBL] [Abstract][Full Text] [Related]
20.
Sun Y; Zhang Z
Genet Test Mol Biomarkers; 2020 May; 24(5):296-308. PubMed ID: 32384023
[No Abstract] [Full Text] [Related]
[Next] [New Search]
