203 related articles for article (PubMed ID: 33475988)
1. System-Wide Pollution of Biomedical Data: Consequence of the Search for Hub Genes of Hepatocellular Carcinoma Without Spatiotemporal Consideration.
Sharma A; Colonna G
Mol Diagn Ther; 2021 Jan; 25(1):9-27. PubMed ID: 33475988
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Identification of biomarkers for hepatocellular carcinoma using network-based bioinformatics methods.
Zhang L; Guo Y; Li B; Qu J; Zang C; Li F; Wang Y; Pang H; Li S; Liu Q
Eur J Med Res; 2013 Oct; 18(1):35. PubMed ID: 24083576
[TBL] [Abstract][Full Text] [Related]
4. Identification and validation of a hub gene prognostic index for hepatocellular carcinoma.
Shi Q; Meng Z; Tian XX; Wang YF; Wang WH
Future Oncol; 2021 Jun; 17(17):2193-2208. PubMed ID: 33620260
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Prognostic value of aberrantly expressed methylation genes in human hepatocellular carcinoma.
Zhen L; Ning G; Wu L; Zheng Y; Yang F; Chen T; Xu W; Liu Y; Xie C; Peng L
Biosci Rep; 2020 Oct; 40(10):. PubMed ID: 32955083
[TBL] [Abstract][Full Text] [Related]
7. Identification of Biomarkers Related to Immune Cell Infiltration in Hepatocellular Carcinoma Using Gene Co-Expression Network.
Zhou W; Chen Y; Luo R; Li Z; Jiang G; Ou X
Pathol Oncol Res; 2021; 27():601693. PubMed ID: 34257558
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Identification of immune-infiltrating cell-related biomarkers in hepatocellular carcinoma based on gene co-expression network analysis.
Hou Y; Zhang G
Diagn Pathol; 2021 Jul; 16(1):57. PubMed ID: 34218795
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Multiple "Omics" data-based biomarker screening for hepatocellular carcinoma diagnosis.
Liu XN; Cui DN; Li YF; Liu YH; Liu G; Liu L
World J Gastroenterol; 2019 Aug; 25(30):4199-4212. PubMed ID: 31435173
[TBL] [Abstract][Full Text] [Related]
13. A pipeline to create predictive functional networks: application to the tumor progression of hepatocellular carcinoma.
Folschette M; Legagneux V; Poret A; Chebouba L; Guziolowski C; Théret N
BMC Bioinformatics; 2020 Jan; 21(1):18. PubMed ID: 31937236
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases.
Zhang P; Feng J; Wu X; Chu W; Zhang Y; Li P
Pathol Oncol Res; 2021; 27():588532. PubMed ID: 34257537
[No Abstract] [Full Text] [Related]
16. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Screening Hub Genes as Prognostic Biomarkers of Hepatocellular Carcinoma by Bioinformatics Analysis.
Zhou Z; Li Y; Hao H; Wang Y; Zhou Z; Wang Z; Chu X
Cell Transplant; 2019 Dec; 28(1_suppl):76S-86S. PubMed ID: 31822116
[TBL] [Abstract][Full Text] [Related]
19. Cancer-Testis Gene Expression in Hepatocellular Carcinoma: Identification of Prognostic Markers and Potential Targets for Immunotherapy.
Zhang YP; Bao ZW; Wu JB; Chen YH; Chen JR; Xie HY; Zhou L; Wu J; Zheng SS
Technol Cancer Res Treat; 2020; 19():1533033820944274. PubMed ID: 32715976
[TBL] [Abstract][Full Text] [Related]
20. Identification and characterization of sexual dimorphism‑linked gene expression profile in hepatocellular carcinoma.
Wu Y; Yao N; Feng Y; Tian Z; Yang Y; Zhao Y
Oncol Rep; 2019 Sep; 42(3):937-952. PubMed ID: 31322260
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
