Format
Sort by
Items per page

Send to

Choose Destination

Links from PubMed

Items: 1 to 20 of 58

1.

Module cover - a new approach to genotype-phenotype studies.

Kim YA, Salari R, Wuchty S, Przytycka TM.

Pac Symp Biocomput. 2013:135-46.

2.

Identification of mutated core cancer modules by integrating somatic mutation, copy number variation, and gene expression data.

Zhang J, Zhang S, Wang Y, Zhang XS.

BMC Syst Biol. 2013;7 Suppl 2:S4. doi: 10.1186/1752-0509-7-S2-S4. Epub 2013 Oct 14.

3.

Mutual exclusivity analysis identifies oncogenic network modules.

Ciriello G, Cerami E, Sander C, Schultz N.

Genome Res. 2012 Feb;22(2):398-406. doi: 10.1101/gr.125567.111. Epub 2011 Sep 9.

4.

Identifying causal genes and dysregulated pathways in complex diseases.

Kim YA, Wuchty S, Przytycka TM.

PLoS Comput Biol. 2011 Mar;7(3):e1001095. doi: 10.1371/journal.pcbi.1001095. Epub 2011 Mar 3.

5.

Module network inference from a cancer gene expression data set identifies microRNA regulated modules.

Bonnet E, Tatari M, Joshi A, Michoel T, Marchal K, Berx G, Van de Peer Y.

PLoS One. 2010 Apr 14;5(4):e10162. doi: 10.1371/journal.pone.0010162.

6.

Gene co-expression network and functional module analysis of ovarian cancer.

Hong S, Dong H, Jin L, Xiong M.

Int J Comput Biol Drug Des. 2011;4(2):147-64. doi: 10.1504/IJCBDD.2011.041008. Epub 2011 Jun 28.

PMID:
21712565
7.

Discovery of mutated subnetworks associated with clinical data in cancer.

Vandin F, Clay P, Upfal E, Raphael BJ.

Pac Symp Biocomput. 2012:55-66.

8.

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. doi: 10.1039/c2mb25528f. Epub 2013 Jan 23.

PMID:
23344900
9.
11.
12.

Enhancing biological relevance of a weighted gene co-expression network for functional module identification.

Prom-On S, Chanthaphan A, Chan JH, Meechai A.

J Bioinform Comput Biol. 2011 Feb;9(1):111-29.

PMID:
21328709
13.

An integrated approach to identify causal network modules of complex diseases with application to colorectal cancer.

Wen Z, Liu ZP, Liu Z, Zhang Y, Chen L.

J Am Med Inform Assoc. 2013 Jul-Aug;20(4):659-67. doi: 10.1136/amiajnl-2012-001168. Epub 2012 Sep 11.

14.

BRNI: Modular analysis of transcriptional regulatory programs.

Nachman I, Regev A.

BMC Bioinformatics. 2009 May 20;10:155. doi: 10.1186/1471-2105-10-155.

15.

VAN: an R package for identifying biologically perturbed networks via differential variability analysis.

Jayaswal V, Schramm SJ, Mann GJ, Wilkins MR, Yang YH.

BMC Res Notes. 2013 Oct 25;6:430. doi: 10.1186/1756-0500-6-430.

16.
17.

Identification of susceptibility modules for coronary artery disease using a genome wide integrated network analysis.

Duan S, Luo X, Dong C.

Gene. 2013 Dec 1;531(2):347-54. doi: 10.1016/j.gene.2013.08.059. Epub 2013 Aug 29.

PMID:
23994195
18.

Identification of functional modules that correlate with phenotypic difference: the influence of network topology.

Hung JH, Whitfield TW, Yang TH, Hu Z, Weng Z, DeLisi C.

Genome Biol. 2010;11(2):R23. doi: 10.1186/gb-2010-11-2-r23. Epub 2010 Feb 26.

19.

A Bayesian partition method for detecting pleiotropic and epistatic eQTL modules.

Zhang W, Zhu J, Schadt EE, Liu JS.

PLoS Comput Biol. 2010 Jan 15;6(1):e1000642. doi: 10.1371/journal.pcbi.1000642.

20.

ICan: an integrated co-alteration network to identify ovarian cancer-related genes.

Zhou Y, Liu Y, Li K, Zhang R, Qiu F, Zhao N, Xu Y.

PLoS One. 2015 Mar 24;10(3):e0116095. doi: 10.1371/journal.pone.0116095. eCollection 2015.

Supplemental Content

Support Center