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Identification of novel stem cell markers using gap analysis of gene expression data

Abstract
A method for the detection of marker genes in large heterogeneous collections of gene expression data is described and applied to DNA microarray data generated from 83 mouse stem cell-related samples.

Publication details
Download http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2375031
Publisher BioMed Central
Repository PubMed Central (PMC3 - NLM DTD) (United States)
Keywords Method
Type Text
Language English