110 related articles for article (PubMed ID: 32422000)
21. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
Hu S; Liao Y; Chen L
Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
[TBL] [Abstract][Full Text] [Related]
22. Analysis of the protein-protein interaction networks of differentially expressed genes in pulmonary embolism.
Wang H; Wang C; Zhang L; Lu Y; Duan Q; Gong Z; Liang A; Song H; Wang L
Mol Med Rep; 2015 Apr; 11(4):2527-33. PubMed ID: 25434468
[TBL] [Abstract][Full Text] [Related]
23. Identification of key gene modules and pathways of human glioma through coexpression network.
Shi T; Chen J; Li J; Yang BY; Zhang QL
J Cell Physiol; 2019 Feb; 234(2):1862-1870. PubMed ID: 30067869
[TBL] [Abstract][Full Text] [Related]
24. Bioinformatics Analysis Identified Key Molecular Changes in Bladder Cancer Development and Recurrence.
Chen Q; Hu J; Deng J; Fu B; Guo J
Biomed Res Int; 2019; 2019():3917982. PubMed ID: 31828101
[No Abstract] [Full Text] [Related]
25. Identification of Core Genes and Key Pathways via Integrated Analysis of Gene Expression and DNA Methylation Profiles in Bladder Cancer.
Zhang Y; Fang L; Zang Y; Xu Z
Med Sci Monit; 2018 May; 24():3024-3033. PubMed ID: 29739919
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Identification of Key Gene Modules in Human Osteosarcoma by Co-Expression Analysis Weighted Gene Co-Expression Network Analysis (WGCNA).
Liu X; Hu AX; Zhao JL; Chen FL
J Cell Biochem; 2017 Nov; 118(11):3953-3959. PubMed ID: 28398605
[TBL] [Abstract][Full Text] [Related]
28. Biomarker identification and trans-regulatory network analyses in esophageal adenocarcinoma and Barrett's esophagus.
Lv J; Guo L; Wang JH; Yan YZ; Zhang J; Wang YY; Yu Y; Huang YF; Zhao HP
World J Gastroenterol; 2019 Jan; 25(2):233-244. PubMed ID: 30670912
[TBL] [Abstract][Full Text] [Related]
29. Identification of hub genes and regulators associated with pancreatic ductal adenocarcinoma based on integrated gene expression profile analysis.
Shang M; Zhang L; Chen X; Zheng S
Discov Med; 2019 Sep; 28(153):159-172. PubMed ID: 31926587
[TBL] [Abstract][Full Text] [Related]
30. Application of weighted gene co-expression network analysis to reveal key modules and hub genes in generalized aggressive periodontitis.
Li Y; Zheng JN; Wang EH; Lan KF; Gong CJ; Ding X
Arch Oral Biol; 2020 Nov; 119():104895. PubMed ID: 32916454
[TBL] [Abstract][Full Text] [Related]
31. Integrated bioinformatic analysis of differentially expressed genes and signaling pathways in plaque psoriasis.
Zhang YJ; Sun YZ; Gao XH; Qi RQ
Mol Med Rep; 2019 Jul; 20(1):225-235. PubMed ID: 31115544
[TBL] [Abstract][Full Text] [Related]
32. 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]
33. Identifying key genes in rheumatoid arthritis by weighted gene co-expression network analysis.
Ma C; Lv Q; Teng S; Yu Y; Niu K; Yi C
Int J Rheum Dis; 2017 Aug; 20(8):971-979. PubMed ID: 28440025
[TBL] [Abstract][Full Text] [Related]
34. Screening of the prognostic targets for breast cancer based co-expression modules analysis.
Liu H; Ye H
Mol Med Rep; 2017 Oct; 16(4):4038-4044. PubMed ID: 28731166
[TBL] [Abstract][Full Text] [Related]
35. Identification of potential miRNA-mRNA regulatory network contributing to pathogenesis of HBV-related HCC.
Lou W; Liu J; Ding B; Chen D; Xu L; Ding J; Jiang D; Zhou L; Zheng S; Fan W
J Transl Med; 2019 Jan; 17(1):7. PubMed ID: 30602391
[TBL] [Abstract][Full Text] [Related]
36. Identification of specific modules and significant genes associated with colon cancer by weighted gene co‑expression network analysis.
Feng Y; Li Y; Li L; Wang X; Chen Z
Mol Med Rep; 2019 Jul; 20(1):693-700. PubMed ID: 31180534
[TBL] [Abstract][Full Text] [Related]
37. Potential role of lncRNAs in contributing to pathogenesis of chronic glomerulonephritis based on microarray data.
Gao JR; Qin XJ; Jiang H; Gao YC; Guo MF; Jiang NN
Gene; 2018 Feb; 643():46-54. PubMed ID: 29199037
[TBL] [Abstract][Full Text] [Related]
38. Repositioning drugs by targeting network modules: a Parkinson's disease case study.
Yue Z; Arora I; Zhang EY; Laufer V; Bridges SL; Chen JY
BMC Bioinformatics; 2017 Dec; 18(Suppl 14):532. PubMed ID: 29297292
[TBL] [Abstract][Full Text] [Related]
39. Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell carcinoma.
Peng H; Wang S; Pang L; Yang L; Chen Y; Cui XB
Mol Omics; 2019 Feb; 15(1):88-100. PubMed ID: 30706927
[TBL] [Abstract][Full Text] [Related]
40. Identification of critical genes associated with the development of asthma by co-expression modules construction.
He LL; Xu F; Zhan XQ; Chen ZH; Shen HH
Mol Immunol; 2020 Jul; 123():18-25. PubMed ID: 32388106
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
