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Article

Expression profiles of switch-like genes accurately classify tissue and infectious disease phenotypes in model-based classification.

BMC bioinformatics - 17 Nov 2008

Gormley Michael, Tozeren Aydin

Abstract excerpt

BACKGROUND: Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of identification and annotation of bimodal genes in the human and mouse genomes. These switch-like genes consist of 15% of known human genes, and are enriched with genes coding for extracellular and membrane proteins. It is of interest to...

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Identifiers

PMID: 19014681
DOI: 10.1186/1471-2105-9-486
PMCID: PMC2620272

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