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Items: 1 to 20 of 158

1.

Quantifying differential gene connectivity between disease states for objective identification of disease-relevant genes.

Chu JH, Lazarus R, Carey VJ, Raby BA.

BMC Syst Biol. 2011 May 31;5:89. doi: 10.1186/1752-0509-5-89.

2.

Gene expression complex networks: synthesis, identification, and analysis.

Lopes FM, Cesar RM, Costa Lda F.

J Comput Biol. 2011 Oct;18(10):1353-67. doi: 10.1089/cmb.2010.0118. Epub 2011 May 6.

PMID:
21548810
3.

Gene expression signature of estrogen receptor alpha status in breast cancer.

Abba MC, Hu Y, Sun H, Drake JA, Gaddis S, Baggerly K, Sahin A, Aldaz CM.

BMC Genomics. 2005 Mar 11;6:37.

4.

Large differences in global transcriptional regulatory programs of normal and tumor colon cells.

Cordero D, Solé X, Crous-Bou M, Sanz-Pamplona R, Paré-Brunet L, Guinó E, Olivares D, Berenguer A, Santos C, Salazar R, Biondo S, Moreno V.

BMC Cancer. 2014 Sep 24;14:708. doi: 10.1186/1471-2407-14-708.

5.

Identifying cancer biomarkers by network-constrained support vector machines.

Chen L, Xuan J, Riggins RB, Clarke R, Wang Y.

BMC Syst Biol. 2011 Oct 12;5:161. doi: 10.1186/1752-0509-5-161.

6.

Cliques for the identification of gene signatures for colorectal cancer across population.

Pradhan MP, Nagulapalli K, Palakal MJ.

BMC Syst Biol. 2012;6 Suppl 3:S17. doi: 10.1186/1752-0509-6-S3-S17. Epub 2012 Dec 17.

7.

Inferring gene dependency network specific to phenotypic alteration based on gene expression data and clinical information of breast cancer.

Zhou X, Liu J.

PLoS One. 2014 Mar 17;9(3):e92023. doi: 10.1371/journal.pone.0092023. eCollection 2014.

8.

Gene interaction enrichment and network analysis to identify dysregulated pathways and their interactions in complex diseases.

Liu Y, Koyutürk M, Barnholtz-Sloan JS, Chance MR.

BMC Syst Biol. 2012 Jun 13;6:65. doi: 10.1186/1752-0509-6-65.

9.

Using graphical adaptive lasso approach to construct transcription factor and microRNA's combinatorial regulatory network in breast cancer.

Su N, Dai D, Deng C, Qian M, Deng M.

IET Syst Biol. 2014 Jun;8(3):87-95. doi: 10.1049/iet-syb.2013.0029.

PMID:
25014375
10.

Ranking differential hubs in gene co-expression networks.

Odibat O, Reddy CK.

J Bioinform Comput Biol. 2012 Feb;10(1):1240002. doi: 10.1142/S0219720012400021.

PMID:
22809303
11.

Differential regulation enrichment analysis via the integration of transcriptional regulatory network and gene expression data.

Ma S, Jiang T, Jiang R.

Bioinformatics. 2015 Feb 15;31(4):563-71. doi: 10.1093/bioinformatics/btu672. Epub 2014 Oct 15.

PMID:
25322838
12.

Identifying Network Perturbation in Cancer.

Grechkin M, Logsdon BA, Gentles AJ, Lee SI.

PLoS Comput Biol. 2016 May 4;12(5):e1004888. doi: 10.1371/journal.pcbi.1004888. eCollection 2016 May.

13.
14.

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.

15.

Inference of hierarchical regulatory network of estrogen-dependent breast cancer through ChIP-based data.

Gu F, Hsu HK, Hsu PY, Wu J, Ma Y, Parvin J, Huang TH, Jin VX.

BMC Syst Biol. 2010 Dec 17;4:170. doi: 10.1186/1752-0509-4-170.

16.

New network topology approaches reveal differential correlation patterns in breast cancer.

Bockmayr M, Klauschen F, Györffy B, Denkert C, Budczies J.

BMC Syst Biol. 2013 Aug 15;7:78. doi: 10.1186/1752-0509-7-78.

17.

A statistical framework for differential network analysis from microarray data.

Gill R, Datta S, Datta S.

BMC Bioinformatics. 2010 Feb 19;11:95. doi: 10.1186/1471-2105-11-95.

18.

Semaphorin-plexin signalling genes associated with human breast tumourigenesis.

Gabrovska PN, Smith RA, Tiang T, Weinstein SR, Haupt LM, Griffiths LR.

Gene. 2011 Dec 10;489(2):63-9. doi: 10.1016/j.gene.2011.08.024. Epub 2011 Sep 2.

PMID:
21925246
19.

Estimating dynamic models for gene regulation networks.

Cao J, Zhao H.

Bioinformatics. 2008 Jul 15;24(14):1619-24. doi: 10.1093/bioinformatics/btn246. Epub 2008 May 27.

20.

Differential reconstructed gene interaction networks for deriving toxicity threshold in chemical risk assessment.

Yang Y, Maxwell A, Zhang X, Wang N, Perkins EJ, Zhang C, Gong P.

BMC Bioinformatics. 2013;14 Suppl 14:S3. doi: 10.1186/1471-2105-14-S14-S3. Epub 2013 Oct 9.

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