413 related articles for article (PubMed ID: 32565973)
1. Identification of key genes associated with the progression of intrahepatic cholangiocarcinoma using weighted gene co-expression network analysis.
Ye Z; Zeng Z; Wang D; Lei S; Shen Y; Chen Z
Oncol Lett; 2020 Jul; 20(1):483-494. PubMed ID: 32565973
[TBL] [Abstract][Full Text] [Related]
2. ESR1 as a recurrence-related gene in intrahepatic cholangiocarcinoma: a weighted gene coexpression network analysis.
Li F; Chen Q; Yang Y; Li M; Zhang L; Yan Z; Zhang J; Wang K
Cancer Cell Int; 2021 Apr; 21(1):225. PubMed ID: 33865377
[TBL] [Abstract][Full Text] [Related]
3. Novel Drug Candidate Prediction for Intrahepatic Cholangiocarcinoma via Hub Gene Network Analysis and Connectivity Mapping.
Xiao Y; Zhang B; Cloyd JM; Alaimo L; Xu G; Du S; Mao Y; Pawlik TM
Cancers (Basel); 2022 Jul; 14(13):. PubMed ID: 35805055
[TBL] [Abstract][Full Text] [Related]
4. Identification of vital modules and genes associated with heart failure based on weighted gene coexpression network analysis.
Bian W; Wang Z; Li X; Jiang XX; Zhang H; Liu Z; Zhang DM
ESC Heart Fail; 2022 Apr; 9(2):1370-1379. PubMed ID: 35128826
[TBL] [Abstract][Full Text] [Related]
5. HEMGN and SLC2A1 might be potential diagnostic biomarkers of steroid-induced osteonecrosis of femoral head: study based on WGCNA and DEGs screening.
Wu Z; Wen Y; Fan G; He H; Zhou S; Chen L
BMC Musculoskelet Disord; 2021 Jan; 22(1):85. PubMed ID: 33451334
[TBL] [Abstract][Full Text] [Related]
6. Co-expression modules construction by WGCNA and identify potential hub genes and regulation pathways of postpartum depression.
Deng Z; Cai W; Liu J; Deng A; Yang Y; Tu J; Yuan C; Xiao H; Gao W
Front Biosci (Landmark Ed); 2021 Nov; 26(11):1019-1030. PubMed ID: 34856750
[No Abstract] [Full Text] [Related]
7. Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis.
Zou Z; Gan S; Liu S; Li R; Huang J
Oncol Lett; 2019 Jul; 18(1):916-926. PubMed ID: 31289570
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Identification of key genes involved in the development and progression of early-onset colorectal cancer by co-expression network analysis.
Mo X; Su Z; Yang B; Zeng Z; Lei S; Qiao H
Oncol Lett; 2020 Jan; 19(1):177-186. PubMed ID: 31897128
[TBL] [Abstract][Full Text] [Related]
11. Identification of hub genes in peripheral blood mononuclear cells for the diagnosis of hepatocellular carcinoma using a weighted gene co-expression network analysis.
Ye Z; Zeng Z; Shen Y; Chen Z
Exp Ther Med; 2020 Aug; 20(2):890-900. PubMed ID: 32742331
[TBL] [Abstract][Full Text] [Related]
12. The identification and verification of hub genes associated with pulmonary arterial hypertension using weighted gene co-expression network analysis.
Wu W; Chen A; Lin S; Wang Q; Lian G; Luo L; Xie L
BMC Pulm Med; 2022 Dec; 22(1):474. PubMed ID: 36514015
[TBL] [Abstract][Full Text] [Related]
13. Bioinformatics analysis reveals meaningful markers and outcome predictors in HBV-associated hepatocellular carcinoma.
Zhang L; Makamure J; Zhao D; Liu Y; Guo X; Zheng C; Liang B
Exp Ther Med; 2020 Jul; 20(1):427-435. PubMed ID: 32537007
[TBL] [Abstract][Full Text] [Related]
14. Characteristic Analysis of Featured Genes Associated with Cholangiocarcinoma Progression.
Yao Q; Chen W; Gao F; Wu Y; Zhou L; Xu H; Yu J; Zhu X; Wang L; Li L; Cao H
Biomedicines; 2023 Mar; 11(3):. PubMed ID: 36979826
[TBL] [Abstract][Full Text] [Related]
15. A2M is a potential core gene in intrahepatic cholangiocarcinoma.
Zhang G; Liu X; Sun Z; Feng X; Wang H; Hao J; Zhang X
BMC Cancer; 2022 Jan; 22(1):5. PubMed ID: 34979994
[TBL] [Abstract][Full Text] [Related]
16. Identification and Verification of Five Potential Biomarkers Related to Skin and Thermal Injury Using Weighted Gene Co-Expression Network Analysis.
Yang R; Wang Z; Li J; Pi X; Wang X; Xu Y; Shi Y; Zhou S
Front Genet; 2021; 12():781589. PubMed ID: 35047008
[No Abstract] [Full Text] [Related]
17. Identification of key genes for laryngeal squamous cell carcinoma using weighted co-expression network analysis.
Li XT
Oncol Lett; 2016 May; 11(5):3327-3331. PubMed ID: 27123111
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Identification of the key genes of tuberculosis and construction of a diagnostic model via weighted gene co-expression network analysis.
Li B; Sun L; Sun Y; Zhen L; Qi Q; Mo T; Wang H; Qiu M; Cai Q
J Infect Chemother; 2023 Nov; 29(11):1046-1053. PubMed ID: 37499902
[TBL] [Abstract][Full Text] [Related]
20. Identification of key biomarkers and potential molecular mechanisms in lung cancer by bioinformatics analysis.
Li Z; Sang M; Tian Z; Liu Z; Lv J; Zhang F; Shan B
Oncol Lett; 2019 Nov; 18(5):4429-4440. PubMed ID: 31611952
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]