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Results: 1 to 20 of 100

1.

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.

PMID:
23945349
[PubMed - indexed for MEDLINE]
Free PMC Article
2.

Network-based inference framework for identifying cancer genes from gene expression data.

Yang B, Zhang J, Yin Y, Zhang Y.

Biomed Res Int. 2013;2013:401649. doi: 10.1155/2013/401649. Epub 2013 Sep 1.

PMID:
24073403
[PubMed - indexed for MEDLINE]
Free PMC Article
3.

Inferring causal genomic alterations in breast cancer using gene expression data.

Tran LM, Zhang B, Zhang Z, Zhang C, Xie T, Lamb JR, Dai H, Schadt EE, Zhu J.

BMC Syst Biol. 2011 Aug 1;5:121. doi: 10.1186/1752-0509-5-121.

PMID:
21806811
[PubMed - indexed for MEDLINE]
Free PMC Article
4.

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.

PMID:
21627793
[PubMed - indexed for MEDLINE]
Free PMC Article
5.

Integrated analysis of gene expression, CpG island methylation, and gene copy number in breast cancer cells by deep sequencing.

Sun Z, Asmann YW, Kalari KR, Bot B, Eckel-Passow JE, Baker TR, Carr JM, Khrebtukova I, Luo S, Zhang L, Schroth GP, Perez EA, Thompson EA.

PLoS One. 2011 Feb 25;6(2):e17490. doi: 10.1371/journal.pone.0017490.

PMID:
21364760
[PubMed - indexed for MEDLINE]
Free PMC Article
6.

15-prostaglandin dehydrogenase expression alone or in combination with ACSM1 defines a subgroup of the apocrine molecular subtype of breast carcinoma.

Celis JE, Gromov P, Cabezón T, Moreira JM, Friis E, Jirström K, Llombart-Bosch A, Timmermans-Wielenga V, Rank F, Gromova I.

Mol Cell Proteomics. 2008 Oct;7(10):1795-809. doi: 10.1074/mcp.R800011-MCP200. Epub 2008 Jul 16.

PMID:
18632593
[PubMed - indexed for MEDLINE]
Free Article
7.

Assessing modularity using a random matrix theory approach.

Feher K, Whelan J, Müller S.

Stat Appl Genet Mol Biol. 2011 Sep 26;10(1). pii: /j/sagmb.2011.10.issue-1/1544-6115.1667/1544-6115.1667.xml. doi: 10.2202/1544-6115.1667.

PMID:
23089818
[PubMed - indexed for MEDLINE]
8.

Meta-analysis of breast cancer microarray studies in conjunction with conserved cis-elements suggest patterns for coordinate regulation.

Smith DD, Saetrom P, Snøve O Jr, Lundberg C, Rivas GE, Glackin C, Larson GP.

BMC Bioinformatics. 2008 Jan 28;9:63. doi: 10.1186/1471-2105-9-63.

PMID:
18226260
[PubMed - indexed for MEDLINE]
Free PMC Article
9.

Age-specific gene expression signatures for breast tumors and cross-species conserved potential cancer progression markers in young women.

Colak D, Nofal A, Albakheet A, Nirmal M, Jeprel H, Eldali A, Al-Tweigeri T, Tulbah A, Ajarim D, Malik OA, Inan MS, Kaya N, Park BH, Bin Amer SM.

PLoS One. 2013 May 21;8(5):e63204. doi: 10.1371/journal.pone.0063204. Print 2013.

PMID:
23704896
[PubMed - indexed for MEDLINE]
Free PMC Article
10.

Visualizing chromosomes as transcriptome correlation maps: evidence of chromosomal domains containing co-expressed genes--a study of 130 invasive ductal breast carcinomas.

Reyal F, Stransky N, Bernard-Pierrot I, Vincent-Salomon A, de Rycke Y, Elvin P, Cassidy A, Graham A, Spraggon C, Désille Y, Fourquet A, Nos C, Pouillart P, Magdelénat H, Stoppa-Lyonnet D, Couturier J, Sigal-Zafrani B, Asselain B, Sastre-Garau X, Delattre O, Thiery JP, Radvanyi F.

Cancer Res. 2005 Feb 15;65(4):1376-83.

PMID:
15735024
[PubMed - indexed for MEDLINE]
Free Article
11.

A resampling-based meta-analysis for detection of differential gene expression in breast cancer.

Gur-Dedeoglu B, Konu O, Kir S, Ozturk AR, Bozkurt B, Ergul G, Yulug IG.

BMC Cancer. 2008 Dec 30;8:396. doi: 10.1186/1471-2407-8-396.

PMID:
19116033
[PubMed - indexed for MEDLINE]
Free PMC Article
12.

Molecular characterization of apocrine carcinoma of the breast: validation of an apocrine protein signature in a well-defined cohort.

Celis JE, Cabezón T, Moreira JM, Gromov P, Gromova I, Timmermans-Wielenga V, Iwase T, Akiyama F, Honma N, Rank F.

Mol Oncol. 2009 Jun;3(3):220-37. doi: 10.1016/j.molonc.2009.01.005. Epub 2009 Feb 3.

PMID:
19393583
[PubMed - indexed for MEDLINE]
Free Article
13.

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
[PubMed - indexed for MEDLINE]
14.

Core module biomarker identification with network exploration for breast cancer metastasis.

Yang R, Daigle BJ Jr, Petzold LR, Doyle FJ 3rd.

BMC Bioinformatics. 2012 Jan 18;13:12. doi: 10.1186/1471-2105-13-12.

PMID:
22257533
[PubMed - indexed for MEDLINE]
Free PMC Article
15.

Identifying differentially expressed pathways via a mixed integer linear programming model.

Qiu YQ, Zhang S, Zhang XS, Chen L.

IET Syst Biol. 2009 Nov;3(6):475-86. doi: 10.1049/iet-syb.2008.0155.

PMID:
19947773
[PubMed - indexed for MEDLINE]
16.

Dissection of regulatory networks that are altered in disease via differential co-expression.

Amar D, Safer H, Shamir R.

PLoS Comput Biol. 2013;9(3):e1002955. doi: 10.1371/journal.pcbi.1002955. Epub 2013 Mar 7.

PMID:
23505361
[PubMed - indexed for MEDLINE]
Free PMC Article
17.

DiffCoEx: a simple and sensitive method to find differentially coexpressed gene modules.

Tesson BM, Breitling R, Jansen RC.

BMC Bioinformatics. 2010 Oct 6;11:497. doi: 10.1186/1471-2105-11-497.

PMID:
20925918
[PubMed - indexed for MEDLINE]
Free PMC Article
18.

Identifying breast cancer risk loci by global differential allele-specific expression (DASE) analysis in mammary epithelial transcriptome.

Gao C, Devarajan K, Zhou Y, Slater CM, Daly MB, Chen X.

BMC Genomics. 2012 Oct 30;13:570. doi: 10.1186/1471-2164-13-570.

PMID:
23107584
[PubMed - indexed for MEDLINE]
Free PMC Article
19.

ToP: a trend-of-disease-progression procedure works well for identifying cancer genes from multi-state cohort gene expression data for human colorectal cancer.

Chung FH, Lee HH, Lee HC.

PLoS One. 2013 Jun 14;8(6):e65683. doi: 10.1371/journal.pone.0065683. Print 2013.

PMID:
23799036
[PubMed - indexed for MEDLINE]
Free PMC Article
20.

Network-free inference of knockout effects in yeast.

Peleg T, Yosef N, Ruppin E, Sharan R.

PLoS Comput Biol. 2010 Jan;6(1):e1000635. doi: 10.1371/journal.pcbi.1000635. Epub 2010 Jan 8.

PMID:
20066032
[PubMed - indexed for MEDLINE]
Free PMC Article

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