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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author Krzyzanowski, Paul M
Andrade-Navarro, Miguel A
author_facet Krzyzanowski, Paul M
Andrade-Navarro, Miguel A
author_sort Krzyzanowski, Paul M
collection PubMed
description 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.
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spelling pubmed-23750312008-05-10 Identification of novel stem cell markers using gap analysis of gene expression data Krzyzanowski, Paul M Andrade-Navarro, Miguel A Genome Biol Method 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. BioMed Central 2007 2007-09-17 /pmc/articles/PMC2375031/ /pubmed/17875203 http://dx.doi.org/10.1186/gb-2007-8-9-r193 Text en Copyright © 2007 Krzyzanowski and Andrade-Navarro.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Krzyzanowski, Paul M
Andrade-Navarro, Miguel A
Identification of novel stem cell markers using gap analysis of gene expression data
title Identification of novel stem cell markers using gap analysis of gene expression data
title_full Identification of novel stem cell markers using gap analysis of gene expression data
title_fullStr Identification of novel stem cell markers using gap analysis of gene expression data
title_full_unstemmed Identification of novel stem cell markers using gap analysis of gene expression data
title_short Identification of novel stem cell markers using gap analysis of gene expression data
title_sort identification of novel stem cell markers using gap analysis of gene expression data
topic Method
url 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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AT andradenavarromiguela identificationofnovelstemcellmarkersusinggapanalysisofgeneexpressiondata

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