389 related articles for article (PubMed ID: 31897128)
1. 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]
2. Identification of key genes for predicting colorectal cancer prognosis by integrated bioinformatics analysis.
Dai GP; Wang LP; Wen YQ; Ren XQ; Zuo SG
Oncol Lett; 2020 Jan; 19(1):388-398. PubMed ID: 31897151
[TBL] [Abstract][Full Text] [Related]
3. Identification of 10 Hub genes related to the progression of colorectal cancer by co-expression analysis.
Meng J; Su R; Liao Y; Li Y; Li L
PeerJ; 2020; 8():e9633. PubMed ID: 33240582
[TBL] [Abstract][Full Text] [Related]
4. Identification of key genes in colorectal cancer diagnosis by co-expression analysis weighted gene co-expression network analysis.
Mortezapour M; Tapak L; Bahreini F; Najafi R; Afshar S
Comput Biol Med; 2023 May; 157():106779. PubMed ID: 36931200
[TBL] [Abstract][Full Text] [Related]
5. Identification of gene modules and hub genes in colon adenocarcinoma associated with pathological stage based on WGCNA analysis.
Wang H; Liu J; Li J; Zang D; Wang X; Chen Y; Gu T; Su W; Song N
Cancer Genet; 2020 Apr; 242():1-7. PubMed ID: 32036224
[TBL] [Abstract][Full Text] [Related]
6. Network cluster analysis of protein-protein interaction network identified biomarker for early onset colorectal cancer.
Luo T; Wu S; Shen X; Li L
Mol Biol Rep; 2013 Dec; 40(12):6561-8. PubMed ID: 24197691
[TBL] [Abstract][Full Text] [Related]
7. Identifying the key genes and microRNAs in colorectal cancer liver metastasis by bioinformatics analysis and in vitro experiments.
Zhang T; Guo J; Gu J; Wang Z; Wang G; Li H; Wang J
Oncol Rep; 2019 Jan; 41(1):279-291. PubMed ID: 30542696
[TBL] [Abstract][Full Text] [Related]
8. Identification of hub genes in colorectal cancer based on weighted gene co-expression network analysis and clinical data from The Cancer Genome Atlas.
Zhang Y; Luo J; Liu Z; Liu X; Ma Y; Zhang B; Chen Y; Li X; Feng Z; Yang N; Feng D; Wang L; Song X
Biosci Rep; 2021 Jul; 41(7):. PubMed ID: 34308980
[TBL] [Abstract][Full Text] [Related]
9. Screening key genes and signaling pathways in colorectal cancer by integrated bioinformatics analysis.
Yu C; Chen F; Jiang J; Zhang H; Zhou M
Mol Med Rep; 2019 Aug; 20(2):1259-1269. PubMed ID: 31173250
[TBL] [Abstract][Full Text] [Related]
10. Weighted gene co-expression network analysis combined with machine learning validation to identify key hub biomarkers in colorectal cancer.
Guo C; Xie B; Liu Q
Funct Integr Genomics; 2022 Dec; 23(1):24. PubMed ID: 36576616
[TBL] [Abstract][Full Text] [Related]
11. Identification of key gene modules and genes in colorectal cancer by co-expression analysis weighted gene co-expression network analysis.
Wang P; Zheng H; Zhang J; Wang Y; Liu P; Xuan X; Li Q; Du Y
Biosci Rep; 2020 Sep; 40(9):. PubMed ID: 32815531
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Delineating the underlying molecular mechanisms and key genes involved in metastasis of colorectal cancer via bioinformatics analysis.
Qi C; Chen Y; Zhou Y; Huang X; Li G; Zeng J; Ruan Z; Xie X; Zhang J
Oncol Rep; 2018 May; 39(5):2297-2305. PubMed ID: 29517105
[TBL] [Abstract][Full Text] [Related]
14. Screening prognostic genes related to leucovorin, fluorouracil, and irinotecan treatment sensitivity by performing co-expression network analysis for colon cancer.
Wu P; Pan X; Lu K; Gu N
Front Genet; 2022; 13():928356. PubMed ID: 36523769
[No Abstract] [Full Text] [Related]
15. Identification of key genes and pathways involved in microsatellite instability in colorectal cancer.
Yu C; Hong H; Zhang S; Zong Y; Ma J; Lu A; Sun J; Zheng M
Mol Med Rep; 2019 Mar; 19(3):2065-2076. PubMed ID: 30664178
[TBL] [Abstract][Full Text] [Related]
16. Identification of hub genes and key pathways associated with angioimmunoblastic T-cell lymphoma using weighted gene co-expression network analysis.
Li X; Liu Z; Mi M; Zhang C; Xiao Y; Liu X; Wu G; Zhang L
Cancer Manag Res; 2019; 11():5209-5220. PubMed ID: 31239775
[No Abstract] [Full Text] [Related]
17. Identifying miRNA and gene modules of colon cancer associated with pathological stage by weighted gene co-expression network analysis.
Zhou XG; Huang XL; Liang SY; Tang SM; Wu SK; Huang TT; Mo ZN; Wang QY
Onco Targets Ther; 2018; 11():2815-2830. PubMed ID: 29844680
[TBL] [Abstract][Full Text] [Related]
18. Identification of biomarkers associated with diagnosis and prognosis of colorectal cancer patients based on integrated bioinformatics analysis.
Chen L; Lu D; Sun K; Xu Y; Hu P; Li X; Xu F
Gene; 2019 Apr; 692():119-125. PubMed ID: 30654001
[TBL] [Abstract][Full Text] [Related]
19. Identifying Key Genes and Functionally Enriched Pathways in Sjögren's Syndrome by Weighted Gene Co-Expression Network Analysis.
Yao Q; Song Z; Wang B; Qin Q; Zhang JA
Front Genet; 2019; 10():1142. PubMed ID: 31798636
[No Abstract] [Full Text] [Related]
20. Analysis of gene co‑expression network reveals prognostic significance of CNFN in patients with head and neck cancer.
Liu B; Huang G; Zhu H; Ma Z; Tian X; Yin L; Gao X; He X
Oncol Rep; 2019 Apr; 41(4):2168-2180. PubMed ID: 30816522
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
