790 related articles for article (PubMed ID: 30720105)
1. 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]
2. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma.
Wang J; Tian Y; Chen H; Li H; Zheng S
Mol Med Rep; 2018 Jun; 17(6):8153-8160. PubMed ID: 29658607
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. Identification of Hub Genes and Analysis of Prognostic Values in Hepatocellular Carcinoma by Bioinformatics Analysis.
Xu L; Tong T; Wang Z; Qiang Y; Ma F; Ma X
Am J Med Sci; 2020 Apr; 359(4):226-234. PubMed ID: 32200915
[TBL] [Abstract][Full Text] [Related]
11. Examining the key genes and pathways in hepatocellular carcinoma development from hepatitis B virus‑positive cirrhosis.
Chen QF; Xia JG; Li W; Shen LJ; Huang T; Wu P
Mol Med Rep; 2018 Dec; 18(6):4940-4950. PubMed ID: 30272310
[TBL] [Abstract][Full Text] [Related]
12. Microarray analysis for the identification of specific proteins and functional modules involved in the process of hepatocellular carcinoma originating from cirrhotic liver.
Fan W; Ye G
Mol Med Rep; 2018 Apr; 17(4):5619-5626. PubMed ID: 29436633
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics analysis of different candidate genes involved in hepatocellular carcinoma induced by HepG2 cells or tumor cells of patients.
Zhang X; Yin S; Ma K
J Int Med Res; 2020 Jun; 48(6):300060520932112. PubMed ID: 32567431
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. [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]
16. Identification of Biomarkers Based on Bioinformatics Analysis: The Expression of Ubiquitin-Conjugating Enzyme E2T (UBE2T) in the Carcinogenesis and Progression of Hepatocellular Carcinoma.
Zhao X; Weng W; Jin M; Li S; Chen Q; Li B; Zhou Z; Lan C; Yang Y
Med Sci Monit; 2021 Mar; 27():e929023. PubMed ID: 33658475
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatics analysis to identify the key genes affecting the progression and prognosis of hepatocellular carcinoma.
Zhang Y; Wang S; Xiao J; Zhou H
Biosci Rep; 2019 Feb; 39(2):. PubMed ID: 30705088
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of 40S ribosomal protein S8 as a novel biomarker for alcohol‑associated hepatocellular carcinoma using weighted gene co‑expression network analysis.
Bi N; Sun Y; Lei S; Zeng Z; Zhang Y; Sun C; Yu C
Oncol Rep; 2020 Aug; 44(2):611-627. PubMed ID: 32627011
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
