111 related articles for article (PubMed ID: 37723070)
21. Screening and Functional Prediction of Key Candidate Genes in Hepatitis B Virus-Associated Hepatocellular Carcinoma.
Chen X; Liao L; Li Y; Huang H; Huang Q; Deng S
Biomed Res Int; 2020; 2020():7653506. PubMed ID: 33102593
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Identification of significant gene and pathways involved in HBV-related hepatocellular carcinoma by bioinformatics analysis.
Xie S; Jiang X; Zhang J; Xie S; Hua Y; Wang R; Yang Y
PeerJ; 2019; 7():e7408. PubMed ID: 31392101
[TBL] [Abstract][Full Text] [Related]
24. Bioinformatics Analyses of Potential miRNA-mRNA Regulatory Axis in HBV-related Hepatocellular Carcinoma.
Huang DP; Zeng YH; Yuan WQ; Huang XF; Chen SQ; Wang MY; Qiu YJ; Tong GD
Int J Med Sci; 2021; 18(2):335-346. PubMed ID: 33390802
[No Abstract] [Full Text] [Related]
25. Identification and validation of real hub genes in hepatocellular carcinoma based on weighted gene co-expression network analysis.
Qiao Y; Yuan F; Wang X; Hu J; Mao Y; Zhao Z
Cancer Biomark; 2022; 35(2):227-243. PubMed ID: 36120772
[TBL] [Abstract][Full Text] [Related]
26. Screening of significant biomarkers with poor prognosis in hepatocellular carcinoma via bioinformatics analysis.
Sun Q; Liu P; Long B; Zhu Y; Liu T
Medicine (Baltimore); 2020 Aug; 99(32):e21702. PubMed ID: 32769939
[TBL] [Abstract][Full Text] [Related]
27. [Bioinformatics analysis of key genes and prognosis-related genes during the onset of hepatocellular carcinoma].
Zhou ZW; Zhou XG; Liu YC; Qiu MQ; Wen QP; Zhou ZH; Jiang YJ; Feng SX; Yu HP
Zhonghua Gan Zang Bing Za Zhi; 2020 Aug; 28(8):686-691. PubMed ID: 32911908
[No Abstract] [Full Text] [Related]
28. Bioinformatics analysis of key biomarkers and potential molecular mechanisms in hepatocellular carcinoma induced by hepatitis B virus.
Li Z; Xu J; Cui H; Song J; Chen J; Wei J
Medicine (Baltimore); 2020 May; 99(20):e20302. PubMed ID: 32443377
[TBL] [Abstract][Full Text] [Related]
29. Bioinformatics analysis of key genes and pathways for hepatocellular carcinoma transformed from cirrhosis.
He B; Yin J; Gong S; Gu J; Xiao J; Shi W; Ding W; He Y
Medicine (Baltimore); 2017 Jun; 96(25):e6938. PubMed ID: 28640074
[TBL] [Abstract][Full Text] [Related]
30. Identification of Multiple Hub Genes and Pathways in Hepatocellular Carcinoma: A Bioinformatics Analysis.
Liu J; Han F; Ding J; Liang X; Liu J; Huang D; Zhang C
Biomed Res Int; 2021; 2021():8849415. PubMed ID: 34337056
[TBL] [Abstract][Full Text] [Related]
31. Identification and Analysis of Potential Key Genes Associated With Hepatocellular Carcinoma Based on Integrated Bioinformatics Methods.
Li Z; Lin Y; Cheng B; Zhang Q; Cai Y
Front Genet; 2021; 12():571231. PubMed ID: 33767726
[TBL] [Abstract][Full Text] [Related]
32. A Six-Gene Prognostic Risk Prediction Model In Hepatitis B Virus-Associated Hepatocellular Carcinoma.
Shen J; Shu M; Xie S; Yan J; Pan K; Chen S; Li X
Clin Invest Med; 2021 Oct; 44(3):E32-44. PubMed ID: 34600458
[TBL] [Abstract][Full Text] [Related]
33. Identification of Potential Key Genes for Hepatitis B Virus-Associated Hepatocellular Carcinoma by Bioinformatics Analysis.
Chen Z; Chen J; Huang X; Wu Y; Huang K; Xu W; Xie L; Zhang X; Liu H
J Comput Biol; 2019 May; 26(5):485-494. PubMed ID: 30864827
[No Abstract] [Full Text] [Related]
34. Identifying hub genes and dysregulated pathways in hepatocellular carcinoma.
Jin B; Wang W; Du G; Huang GZ; Han LT; Tang ZY; Fan DG; Li J; Zhang SZ
Eur Rev Med Pharmacol Sci; 2015 Feb; 19(4):592-601. PubMed ID: 25753876
[TBL] [Abstract][Full Text] [Related]
35. A systematic study on the treatment of hepatitis B-related hepatocellular carcinoma with drugs based on bioinformatics and key target reverse network pharmacology and experimental verification.
Li S; Hao L; Hu X; Li L
Infect Agent Cancer; 2023 Jul; 18(1):41. PubMed ID: 37393234
[TBL] [Abstract][Full Text] [Related]
36. Bioinformatics analysis for hepatocellular carcinoma genes based on the data of expression profile chip.
Xiao J; Zhang Y
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2020 Sept 28; 45(9):1053-1060. PubMed ID: 33051418
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. 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]
39. Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis.
Meng Z; Wu J; Liu X; Zhou W; Ni M; Liu S; Guo S; Jia S; Zhang J
J Int Med Res; 2020 Jul; 48(7):300060520910019. PubMed ID: 32722976
[TBL] [Abstract][Full Text] [Related]
40. Bioinformatics screening the novel and promising targets of curcumin in hepatocellular carcinoma chemotherapy and prognosis.
Yang T; Chen Y; Xu J; Li J; Liu H; Liu N
BMC Complement Med Ther; 2022 Jan; 22(1):21. PubMed ID: 35078445
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]