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Items: 10

1.

Regulatory networks define phenotypic classes of human stem cell lines.

Müller FJ, Laurent LC, Kostka D, Ulitsky I, Williams R, Lu C, Park IH, Rao MS, Shamir R, Schwartz PH, Schmidt NO, Loring JF.

Nature. 2008 Sep 18;455(7211):401-5. doi: 10.1038/nature07213. Epub 2008 Aug 24.

2.

Evaluation of clustering algorithms for gene expression data.

Datta S, Datta S.

BMC Bioinformatics. 2006 Dec 12;7 Suppl 4:S17.

3.

Computational cluster validation in post-genomic data analysis.

Handl J, Knowles J, Kell DB.

Bioinformatics. 2005 Aug 1;21(15):3201-12. Epub 2005 May 24. Review.

PMID:
15914541
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6.

A mixture model-based approach to the clustering of microarray expression data.

McLachlan GJ, Bean RW, Peel D.

Bioinformatics. 2002 Mar;18(3):413-22.

PMID:
11934740
7.

Validating clustering for gene expression data.

Yeung KY, Haynor DR, Ruzzo WL.

Bioinformatics. 2001 Apr;17(4):309-18.

PMID:
11301299
8.

KEGG: kyoto encyclopedia of genes and genomes.

Kanehisa M, Goto S.

Nucleic Acids Res. 2000 Jan 1;28(1):27-30.

9.

Cluster analysis and display of genome-wide expression patterns.

Eisen MB, Spellman PT, Brown PO, Botstein D.

Proc Natl Acad Sci U S A. 1998 Dec 8;95(25):14863-8.

10.

Cluster analysis and data visualization of large-scale gene expression data.

Michaels GS, Carr DB, Askenazi M, Fuhrman S, Wen X, Somogyi R.

Pac Symp Biocomput. 1998:42-53.

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