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Items: 1 to 20 of 31

1.

Notch and EGFR pathway interaction regulates neural stem cell number and self-renewal.

Aguirre A, Rubio ME, Gallo V.

Nature. 2010 Sep 16;467(7313):323-7. doi: 10.1038/nature09347.

2.

Metastatic outgrowth encompasses COL-I, FN1, and POSTN up-regulation and assembly to fibrillar networks regulating cell adhesion, migration, and growth.

Soikkeli J, Podlasz P, Yin M, Nummela P, Jahkola T, Virolainen S, Krogerus L, Heikkilä P, von Smitten K, Saksela O, Hölttä E.

Am J Pathol. 2010 Jul;177(1):387-403. doi: 10.2353/ajpath.2010.090748. Epub 2010 May 20.

3.

Direct conversion of fibroblasts to functional neurons by defined factors.

Vierbuchen T, Ostermeier A, Pang ZP, Kokubu Y, Südhof TC, Wernig M.

Nature. 2010 Feb 25;463(7284):1035-41. doi: 10.1038/nature08797. Epub 2010 Jan 27.

4.

Oncogenic EGFR signaling networks in glioma.

Huang PH, Xu AM, White FM.

Sci Signal. 2009 Sep 8;2(87):re6. doi: 10.1126/scisignal.287re6. Review. Erratum in: Sci Signal. 2009 Sep 22;2(89):er7.

PMID:
19738203
5.

Analysis of gene expression data using BRB-ArrayTools.

Simon R, Lam A, Li MC, Ngan M, Menenzes S, Zhao Y.

Cancer Inform. 2007 Feb 4;3:11-7.

6.

Unsupervised analysis of transcriptomic profiles reveals six glioma subtypes.

Li A, Walling J, Ahn S, Kotliarov Y, Su Q, Quezado M, Oberholtzer JC, Park J, Zenklusen JC, Fine HA.

Cancer Res. 2009 Mar 1;69(5):2091-9. doi: 10.1158/0008-5472.CAN-08-2100. Epub 2009 Feb 24.

7.

Rembrandt: helping personalized medicine become a reality through integrative translational research.

Madhavan S, Zenklusen JC, Kotliarov Y, Sahni H, Fine HA, Buetow K.

Mol Cancer Res. 2009 Feb;7(2):157-67. doi: 10.1158/1541-7786.MCR-08-0435. Epub 2009 Feb 10.

8.

Anaplastic oligodendrogliomas with 1p19q codeletion have a proneural gene expression profile.

Ducray F, Idbaih A, de Reyniès A, Bièche I, Thillet J, Mokhtari K, Lair S, Marie Y, Paris S, Vidaud M, Hoang-Xuan K, Delattre O, Delattre JY, Sanson M.

Mol Cancer. 2008 May 20;7:41. doi: 10.1186/1476-4598-7-41.

9.

A systems biology approach to prediction of oncogenes and molecular perturbation targets in B-cell lymphomas.

Mani KM, Lefebvre C, Wang K, Lim WK, Basso K, Dalla-Favera R, Califano A.

Mol Syst Biol. 2008;4:169. doi: 10.1038/msb.2008.2. Epub 2008 Feb 12.

10.

Integration of biological networks and gene expression data using Cytoscape.

Cline MS, Smoot M, Cerami E, Kuchinsky A, Landys N, Workman C, Christmas R, Avila-Campilo I, Creech M, Gross B, Hanspers K, Isserlin R, Kelley R, Killcoyne S, Lotia S, Maere S, Morris J, Ono K, Pavlovic V, Pico AR, Vailaya A, Wang PL, Adler A, Conklin BR, Hood L, Kuiper M, Sander C, Schmulevich I, Schwikowski B, Warner GJ, Ideker T, Bader GD.

Nat Protoc. 2007;2(10):2366-82.

11.

Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles.

Faith JJ, Hayete B, Thaden JT, Mogno I, Wierzbowski J, Cottarel G, Kasif S, Collins JJ, Gardner TS.

PLoS Biol. 2007 Jan;5(1):e8.

12.

CoXpress: differential co-expression in gene expression data.

Watson M.

BMC Bioinformatics. 2006 Nov 20;7:509.

13.

ARACNE: an algorithm for the reconstruction of gene regulatory networks in a mammalian cellular context.

Margolin AA, Nemenman I, Basso K, Wiggins C, Stolovitzky G, Dalla Favera R, Califano A.

BMC Bioinformatics. 2006 Mar 20;7 Suppl 1:S7.

14.

Neuronal and glioma-derived stem cell factor induces angiogenesis within the brain.

Sun L, Hui AM, Su Q, Vortmeyer A, Kotliarov Y, Pastorino S, Passaniti A, Menon J, Walling J, Bailey R, Rosenblum M, Mikkelsen T, Fine HA.

Cancer Cell. 2006 Apr;9(4):287-300.

15.

Differential coexpression analysis using microarray data and its application to human cancer.

Choi JK, Yu U, Yoo OJ, Kim S.

Bioinformatics. 2005 Dec 15;21(24):4348-55. Epub 2005 Oct 18.

PMID:
16234317
16.

Searching for differentially expressed gene combinations.

Dettling M, Gabrielson E, Parmigiani G.

Genome Biol. 2005;6(10):R88. Epub 2005 Sep 19.

17.

Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy.

Peng H, Long F, Ding C.

IEEE Trans Pattern Anal Mach Intell. 2005 Aug;27(8):1226-38.

PMID:
16119262
18.

Minimum redundancy feature selection from microarray gene expression data.

Ding C, Peng H.

J Bioinform Comput Biol. 2005 Apr;3(2):185-205.

PMID:
15852500
19.

Multivariate search for differentially expressed gene combinations.

Xiao Y, Frisina R, Gordon A, Klebanov L, Yakovlev A.

BMC Bioinformatics. 2004 Oct 26;5:164.

20.

Finding disease specific alterations in the co-expression of genes.

Kostka D, Spang R.

Bioinformatics. 2004 Aug 4;20 Suppl 1:i194-9.

PMID:
15262799

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