Identification of novel stem cell markers using gap analysis of gene expression data.
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ABSTRACT:
SUBMITTER: Krzyzanowski PM
PROVIDER: S-EPMC2375031 | biostudies-literature | 2007
REPOSITORIES: biostudies-literature
Publications
Identification of novel stem cell markers using gap analysis of gene expression data.
Krzyzanowski Paul M PM Andrade-Navarro Miguel A MA
Genome biology 20070101 9
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. ...[more]
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