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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
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| 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 |