197 related articles for article (PubMed ID: 27824868)
21. Identification of candidate target genes for human peripheral arterial disease using weighted gene co‑expression network analysis.
Yin DX; Zhao HM; Sun DJ; Yao J; Ding DY
Mol Med Rep; 2015 Dec; 12(6):8107-12. PubMed ID: 26498853
[TBL] [Abstract][Full Text] [Related]
22. Identification of ovarian cancer subtype-specific network modules and candidate drivers through an integrative genomics approach.
Zhang D; Chen P; Zheng CH; Xia J
Oncotarget; 2016 Jan; 7(4):4298-309. PubMed ID: 26735889
[TBL] [Abstract][Full Text] [Related]
23. Temporal analysis of hippocampal CA3 gene coexpression networks in a rat model of febrile seizures.
Azevedo H; Amato Khaled N; Santos P; Bernardi Bertonha F; Moreira-Filho CA
Dis Model Mech; 2018 Jan; 11(1):. PubMed ID: 29196444
[TBL] [Abstract][Full Text] [Related]
24. Identification of disrupted pathways in ulcerative colitis-related colorectal carcinoma by systematic tracking the dysregulated modules.
Wu D; Li Q; Song G; Lu J
J BUON; 2016; 21(2):366-74. PubMed ID: 27273946
[TBL] [Abstract][Full Text] [Related]
25. Topological network analysis of differentially expressed genes in cancer cells with acquired gefitinib resistance.
Lee YS; Hwang SG; Kim JK; Park TH; Kim YR; Myeong HS; Kwon K; Jang CS; Noh YH; Kim SY
Cancer Genomics Proteomics; 2015; 12(3):153-66. PubMed ID: 25977174
[TBL] [Abstract][Full Text] [Related]
26. 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]
27. Weighted Gene Co-Expression Network Analysis Identifies Gender Specific Modules and Hub Genes Related to Metabolism and Inflammation in Response to an Acute Lipid Challenge.
Fatima A; Connaughton RM; Weiser A; Murphy AM; O'Grada C; Ryan M; Brennan L; O'Gaora P; Roche HM
Mol Nutr Food Res; 2018 Jan; 62(2):. PubMed ID: 28952191
[TBL] [Abstract][Full Text] [Related]
28. MD-Miner: a network-based approach for personalized drug repositioning.
Wu H; Miller E; Wijegunawardana D; Regan K; Payne PRO; Li F
BMC Syst Biol; 2017 Oct; 11(Suppl 5):86. PubMed ID: 28984195
[TBL] [Abstract][Full Text] [Related]
29. Gene co-expression analysis identifies common modules related to prognosis and drug resistance in cancer cell lines.
Liu W; Li L; Li W
Int J Cancer; 2014 Dec; 135(12):2795-803. PubMed ID: 24771271
[TBL] [Abstract][Full Text] [Related]
30. Module Based Differential Coexpression Analysis Method for Type 2 Diabetes.
Yuan L; Zheng CH; Xia JF; Huang DS
Biomed Res Int; 2015; 2015():836929. PubMed ID: 26339648
[TBL] [Abstract][Full Text] [Related]
31. Proteome Profiling Outperforms Transcriptome Profiling for Coexpression Based Gene Function Prediction.
Wang J; Ma Z; Carr SA; Mertins P; Zhang H; Zhang Z; Chan DW; Ellis MJ; Townsend RR; Smith RD; McDermott JE; Chen X; Paulovich AG; Boja ES; Mesri M; Kinsinger CR; Rodriguez H; Rodland KD; Liebler DC; Zhang B
Mol Cell Proteomics; 2017 Jan; 16(1):121-134. PubMed ID: 27836980
[TBL] [Abstract][Full Text] [Related]
32. Urothelial cancer gene regulatory networks inferred from large-scale RNAseq, Bead and Oligo gene expression data.
de Matos Simoes R; Dalleau S; Williamson KE; Emmert-Streib F
BMC Syst Biol; 2015 May; 9():21. PubMed ID: 25971253
[TBL] [Abstract][Full Text] [Related]
33. Functional Module Connectivity Map (FMCM): a framework for searching repurposed drug compounds for systems treatment of cancer and an application to colorectal adenocarcinoma.
Chung FH; Chiang YR; Tseng AL; Sung YC; Lu J; Huang MC; Ma N; Lee HC
PLoS One; 2014; 9(1):e86299. PubMed ID: 24475102
[TBL] [Abstract][Full Text] [Related]
34. Identifying colon cancer risk modules with better classification performance based on human signaling network.
Qu X; Xie R; Chen L; Feng C; Zhou Y; Li W; Huang H; Jia X; Lv J; He Y; Du Y; Li W; Shi Y; He W
Genomics; 2014 Oct; 104(4):242-8. PubMed ID: 24239682
[TBL] [Abstract][Full Text] [Related]
35. [Applicability of coexpression networks analysis to anticancer drug targets discovery].
Ivliev AE; Rudneva VA; Sergeeva MG
Mol Biol (Mosk); 2010; 44(2):366-74. PubMed ID: 20586197
[TBL] [Abstract][Full Text] [Related]
36. Exploring the Molecular Mechanism and Biomakers of Liver Cancer Based on Gene Expression Microarray.
Liu P; Jiang W; Ren H; Zhang H; Hao J
Pathol Oncol Res; 2015 Sep; 21(4):1077-83. PubMed ID: 25907256
[TBL] [Abstract][Full Text] [Related]
37. Geometric interpretation of gene coexpression network analysis.
Horvath S; Dong J
PLoS Comput Biol; 2008 Aug; 4(8):e1000117. PubMed ID: 18704157
[TBL] [Abstract][Full Text] [Related]
38. Denoising perturbation signatures reveal an actionable AKT-signaling gene module underlying a poor clinical outcome in endocrine-treated ER+ breast cancer.
Teschendorff AE; Li L; Yang Z
Genome Biol; 2015 Apr; 16(1):61. PubMed ID: 25886003
[TBL] [Abstract][Full Text] [Related]
39. Systematic discovery of functional modules and context-specific functional annotation of human genome.
Huang Y; Li H; Hu H; Yan X; Waterman MS; Huang H; Zhou XJ
Bioinformatics; 2007 Jul; 23(13):i222-9. PubMed ID: 17646300
[TBL] [Abstract][Full Text] [Related]
40. Systematic Analysis of Endometrial Cancer-Associated Hub Proteins Based on Text Mining.
Gao H; Zhang Z
Biomed Res Int; 2015; 2015():615825. PubMed ID: 26366417
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]