92 related articles for article (PubMed ID: 26005718)
21. Identification of common coexpression modules based on quantitative network comparison.
Jo Y; Kim S; Lee D
BMC Bioinformatics; 2018 Jun; 19(Suppl 8):213. PubMed ID: 29897320
[TBL] [Abstract][Full Text] [Related]
22. Network analysis of genomic alteration profiles reveals co-altered functional modules and driver genes for glioblastoma.
Gu Y; Wang H; Qin Y; Zhang Y; Zhao W; Qi L; Zhang Y; Wang C; Guo Z
Mol Biosyst; 2013 Mar; 9(3):467-77. PubMed ID: 23344900
[TBL] [Abstract][Full Text] [Related]
23. Predictive genomics: a cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data.
Wang E; Zaman N; Mcgee S; Milanese JS; Masoudi-Nejad A; O'Connor-McCourt M
Semin Cancer Biol; 2015 Feb; 30():4-12. PubMed ID: 24747696
[TBL] [Abstract][Full Text] [Related]
24. Predicting Functional Modules of Liver Cancer Based on Differential Network Analysis.
Hu B; Chang X; Liu X
Interdiscip Sci; 2019 Dec; 11(4):636-644. PubMed ID: 30603844
[TBL] [Abstract][Full Text] [Related]
25. Identification of gene expression profiles and key genes in subchondral bone of osteoarthritis using weighted gene coexpression network analysis.
Guo SM; Wang JX; Li J; Xu FY; Wei Q; Wang HM; Huang HQ; Zheng SL; Xie YJ; Zhang C
J Cell Biochem; 2018 Sep; 119(9):7687-7695. PubMed ID: 29904957
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. 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]
28. LncRNA and mRNA integration network reconstruction reveals novel key regulators in esophageal squamous-cell carcinoma.
Alaei S; Sadeghi B; Najafi A; Masoudi-Nejad A
Genomics; 2019 Jan; 111(1):76-89. PubMed ID: 29317304
[TBL] [Abstract][Full Text] [Related]
29. Identification of Prognostic Candidate Genes in Breast Cancer by Integrated Bioinformatic Analysis.
Wang CCN; Li CY; Cai JH; Sheu PC; Tsai JJP; Wu MY; Li CJ; Hou MF
J Clin Med; 2019 Aug; 8(8):. PubMed ID: 31382519
[TBL] [Abstract][Full Text] [Related]
30. Weighted gene co-expression based biomarker discovery for psoriasis detection.
Sundarrajan S; Arumugam M
Gene; 2016 Nov; 593(1):225-234. PubMed ID: 27523473
[TBL] [Abstract][Full Text] [Related]
31. Gene coexpression analysis offers important modules and pathway of human lung adenocarcinomas.
Wei Z; Zhongqiu T; Lu S; Zhang F; Xie W; Wang Y
J Cell Physiol; 2020 Jan; 235(1):454-464. PubMed ID: 31264215
[TBL] [Abstract][Full Text] [Related]
32. Integrated analyses identify potential prognostic markers for uveal melanoma.
Ni Y; Zhang Z; Chen G; Long W; Tong L; Zeng J
Exp Eye Res; 2019 Oct; 187():107780. PubMed ID: 31469983
[TBL] [Abstract][Full Text] [Related]
33. Network analysis of psoriasis reveals biological pathways and roles for coding and long non-coding RNAs.
Ahn R; Gupta R; Lai K; Chopra N; Arron ST; Liao W
BMC Genomics; 2016 Oct; 17(1):841. PubMed ID: 27793094
[TBL] [Abstract][Full Text] [Related]
34. Genome-wide identification of a novel miRNA-based signature to predict recurrence in patients with gastric cancer.
Yang Y; Qu A; Zhao R; Hua M; Zhang X; Dong Z; Zheng G; Pan H; Wang H; Yang X; Zhang Y
Mol Oncol; 2018 Dec; 12(12):2072-2084. PubMed ID: 30242969
[TBL] [Abstract][Full Text] [Related]
35. Four novel biomarkers for bladder cancer identified by weighted gene coexpression network analysis.
Yan X; Guo ZX; Liu XP; Feng YJ; Zhao YJ; Liu TZ; Li S
J Cell Physiol; 2019 Aug; 234(10):19073-19087. PubMed ID: 30927274
[TBL] [Abstract][Full Text] [Related]
36. Constructing molecular classifiers for the accurate prognosis of lung adenocarcinoma.
Guo L; Ma Y; Ward R; Castranova V; Shi X; Qian Y
Clin Cancer Res; 2006 Jun; 12(11 Pt 1):3344-54. PubMed ID: 16740756
[TBL] [Abstract][Full Text] [Related]
37. Unravelling personalized dysfunctional gene network of complex diseases based on differential network model.
Yu X; Zeng T; Wang X; Li G; Chen L
J Transl Med; 2015 Jun; 13():189. PubMed ID: 26070628
[TBL] [Abstract][Full Text] [Related]
38. Prognostic genes of triple-negative breast cancer identified by weighted gene co-expression network analysis.
Bao L; Guo T; Wang J; Zhang K; Bao M
Oncol Lett; 2020 Jan; 19(1):127-138. PubMed ID: 31897123
[TBL] [Abstract][Full Text] [Related]
39. Transcriptional modules related to hepatocellular carcinoma survival: coexpression network analysis.
Xu X; Zhou Y; Miao R; Chen W; Qu K; Pang Q; Liu C
Front Med; 2016 Jun; 10(2):183-90. PubMed ID: 27052251
[TBL] [Abstract][Full Text] [Related]
40. A prognostic mRNA expression signature of four 16q24.3 genes in radio(chemo)therapy-treated head and neck squamous cell carcinoma (HNSCC).
Wintergerst L; Selmansberger M; Maihoefer C; Schüttrumpf L; Walch A; Wilke C; Pitea A; Woischke C; Baumeister P; Kirchner T; Belka C; Ganswindt U; Zitzelsberger H; Unger K; Hess J
Mol Oncol; 2018 Dec; 12(12):2085-2101. PubMed ID: 30259648
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]