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

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...

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Detalles Bibliográficos
Autores principales:	Krzyzanowski, Paul M, Andrade-Navarro, Miguel A
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2007
Materias:	Method
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2375031/ https://www.ncbi.nlm.nih.gov/pubmed/17875203 http://dx.doi.org/10.1186/gb-2007-8-9-r193

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