| Literature DB >> 17875203 |
Paul M Krzyzanowski1, Miguel A Andrade-Navarro.
Abstract
We describe a method for detecting marker genes in large heterogeneous collections of gene expression data. Markers are identified and characterized by the existence of demarcations in their expression values across the whole dataset, which suggest the presence of groupings of samples. We apply this method to DNA microarray data generated from 83 mouse stem cell related samples and describe 426 selected markers associated with differentiation to establish principles of stem cell evolution.Entities:
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Year: 2007 PMID: 17875203 PMCID: PMC2375031 DOI: 10.1186/gb-2007-8-9-r193
Source DB: PubMed Journal: Genome Biol ISSN: 1474-7596 Impact factor: 13.583