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Items: 1 to 20 of 68

1.

Iterative signature algorithm for the analysis of large-scale gene expression data.

Bergmann S, Ihmels J, Barkai N.

Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Mar;67(3 Pt 1):031902. Epub 2003 Mar 11.

PMID:
12689096
2.

Defining transcription modules using large-scale gene expression data.

Ihmels J, Bergmann S, Barkai N.

Bioinformatics. 2004 Sep 1;20(13):1993-2003. Epub 2004 Mar 25.

PMID:
15044247
3.

Revealing modular organization in the yeast transcriptional network.

Ihmels J, Friedlander G, Bergmann S, Sarig O, Ziv Y, Barkai N.

Nat Genet. 2002 Aug;31(4):370-7. Epub 2002 Jul 22.

PMID:
12134151
4.

Dynamic models of gene expression and classification.

Dewey TG, Galas DJ.

Funct Integr Genomics. 2001 Mar;1(4):269-78.

PMID:
11793246
5.

An Iterative Time Windowed Signature Algorithm for Time Dependent Transcription Module Discovery.

Meng J, Gao SJ, Huang Y.

IEEE Int Workshop Genomic Signal Process Stat. 2008;2008:1-4.

6.

Reverse engineering gene networks using singular value decomposition and robust regression.

Yeung MK, Tegnér J, Collins JJ.

Proc Natl Acad Sci U S A. 2002 Apr 30;99(9):6163-8.

7.

Computational discovery of gene modules and regulatory networks.

Bar-Joseph Z, Gerber GK, Lee TI, Rinaldi NJ, Yoo JY, Robert F, Gordon DB, Fraenkel E, Jaakkola TS, Young RA, Gifford DK.

Nat Biotechnol. 2003 Nov;21(11):1337-42. Epub 2003 Oct 12.

8.
9.

Learning module networks from genome-wide location and expression data.

Xu X, Wang L, Ding D.

FEBS Lett. 2004 Dec 17;578(3):297-304.

10.

Inference of combinatorial regulation in yeast transcriptional networks: a case study of sporulation.

Wang W, Cherry JM, Nochomovitz Y, Jolly E, Botstein D, Li H.

Proc Natl Acad Sci U S A. 2005 Feb 8;102(6):1998-2003. Epub 2005 Jan 31.

11.
12.

Genome-wide discovery of transcriptional modules from DNA sequence and gene expression.

Segal E, Yelensky R, Koller D.

Bioinformatics. 2003;19 Suppl 1:i273-82.

PMID:
12855470
13.

Knowledge-assisted recognition of cluster boundaries in gene expression data.

Okada Y, Sahara T, Mitsubayashi H, Ohgiya S, Nagashima T.

Artif Intell Med. 2005 Sep-Oct;35(1-2):171-83.

PMID:
16054350
14.

Finding regulatory modules through large-scale gene-expression data analysis.

Kloster M, Tang C, Wingreen NS.

Bioinformatics. 2005 Apr 1;21(7):1172-9. Epub 2004 Oct 28.

PMID:
15513996
15.

Large-scale prediction of Saccharomyces cerevisiae gene function using overlapping transcriptional clusters.

Wu LF, Hughes TR, Davierwala AP, Robinson MD, Stoughton R, Altschuler SJ.

Nat Genet. 2002 Jul;31(3):255-65. Epub 2002 Jun 24.

PMID:
12089522
16.

The discovery of transcriptional modules by a two-stage matrix decomposition approach.

Li H, Sun Y, Zhan M.

Bioinformatics. 2007 Feb 15;23(4):473-9. Epub 2006 Dec 22.

PMID:
17189296
17.

Cluster, function and promoter: analysis of yeast expression array.

Zhu J, Zhang MQ.

Pac Symp Biocomput. 2000:479-90.

18.

Background rareness-based iterative multiple sequence alignment algorithm for regulatory element detection.

Narasimhan C, LoCascio P, Uberbacher E.

Bioinformatics. 2003 Oct 12;19(15):1952-63.

PMID:
14555629
19.

Decomposing gene expression into cellular processes.

Segal E, Battle A, Koller D.

Pac Symp Biocomput. 2003:89-100.

20.

Analysis of a Gibbs sampler method for model-based clustering of gene expression data.

Joshi A, Van de Peer Y, Michoel T.

Bioinformatics. 2008 Jan 15;24(2):176-83. Epub 2007 Nov 22.

PMID:
18033794

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