196 related articles for article (PubMed ID: 36479313)
21. 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]
22. Identification of cancer-related gene network in hepatocellular carcinoma by combined bioinformatic approach and experimental validation.
Ni W; Zhang S; Jiang B; Ni R; Xiao M; Lu C; Liu J; Qu L; Ni H; Zhang W; Zhou P
Pathol Res Pract; 2019 Jun; 215(6):152428. PubMed ID: 31064721
[TBL] [Abstract][Full Text] [Related]
23. Analysis of m6A RNA Methylation-Related Genes in Liver Hepatocellular Carcinoma and Their Correlation with Survival.
Li Y; Qi D; Zhu B; Ye X
Int J Mol Sci; 2021 Feb; 22(3):. PubMed ID: 33540684
[TBL] [Abstract][Full Text] [Related]
24. CDK1, CCNB1, CDC20, BUB1, MAD2L1, MCM3, BUB1B, MCM2, and RFC4 May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.
Yang WX; Pan YY; You CG
Biomed Res Int; 2019; 2019():1245072. PubMed ID: 31737652
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes.
Cao D; Xu N; Chen Y; Zhang H; Li Y; Yuan Z
Interdiscip Sci; 2022 Mar; 14(1):245-257. PubMed ID: 34694561
[TBL] [Abstract][Full Text] [Related]
27. [Bioinformatics analysis of core differentially expressed genes in hepatitis B virus-related hepatocellular carcinoma].
Yu Y; Cheng J; Mei CZ; Dai YZ
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2022 Nov; 34(5):507-513. PubMed ID: 36464255
[TBL] [Abstract][Full Text] [Related]
28. Identification of hub genes associated with prognosis, diagnosis, immune infiltration and therapeutic drug in liver cancer by integrated analysis.
Lei X; Zhang M; Guan B; Chen Q; Dong Z; Wang C
Hum Genomics; 2021 Jun; 15(1):39. PubMed ID: 34187556
[TBL] [Abstract][Full Text] [Related]
29. Identification of Potential Hub Genes Related to Diagnosis and Prognosis of Hepatitis B Virus-Related Hepatocellular Carcinoma via Integrated Bioinformatics Analysis.
Tang Y; Zhang Y; Hu X
Biomed Res Int; 2020; 2020():4251761. PubMed ID: 33376723
[TBL] [Abstract][Full Text] [Related]
30. [CDK1, CCNB1 and NDC80 are associated with prognosis and progression of hepatitis B virus-associated hepatocellular carcinoma: a bioinformatic analysis].
Li Y; Wu D; Wei C; Yang X; Zhou S
Nan Fang Yi Ke Da Xue Xue Bao; 2021 Oct; 41(10):1509-1518. PubMed ID: 34755666
[TBL] [Abstract][Full Text] [Related]
31. Bioinformatics identification of crucial genes and pathways associated with hepatocellular carcinoma.
Gao X; Wang X; Zhang S
Biosci Rep; 2018 Dec; 38(6):. PubMed ID: 30341252
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. [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]
34. Aberrant expression of cell cycle and material metabolism related genes contributes to hepatocellular carcinoma occurrence.
Yan H; Li Z; Shen Q; Wang Q; Tian J; Jiang Q; Gao L
Pathol Res Pract; 2017 Apr; 213(4):316-321. PubMed ID: 28238542
[TBL] [Abstract][Full Text] [Related]
35. Bioinformatic Evidence Reveals that Cell Cycle Correlated Genes Drive the Communication between Tumor Cells and the Tumor Microenvironment and Impact the Outcomes of Hepatocellular Carcinoma.
Chen D; Feng Z; Zhou M; Ren Z; Zhang F; Li Y
Biomed Res Int; 2021; 2021():4092635. PubMed ID: 34746301
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Development and validation of a 14-gene signature for prognosis prediction in hepatocellular carcinoma.
Zhang BH; Yang J; Jiang L; Lyu T; Kong LX; Tan YF; Li B; Zhu YF; Xi AY; Xu X; Yan LN; Yang JY
Genomics; 2020 Jul; 112(4):2763-2771. PubMed ID: 32198063
[TBL] [Abstract][Full Text] [Related]
38. 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]
39. Identification of hepatocellular carcinoma-related genes with a machine learning and network analysis.
Gui T; Dong X; Li R; Li Y; Wang Z
J Comput Biol; 2015 Jan; 22(1):63-71. PubMed ID: 25247452
[TBL] [Abstract][Full Text] [Related]
40. Identification of potential crucial genes and key pathways shared in Inflammatory Bowel Disease and cervical cancer by machine learning and integrated bioinformatics.
Nguyen TB; Do DN; Nguyen-Thi ML; Hoang-The H; Tran TT; Nguyen-Thanh T
Comput Biol Med; 2022 Oct; 149():105996. PubMed ID: 36049413
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
