Simultaneous clustering of gene expression data with clinical chemistry and pathological evaluations reveals phenotypic prototypes

BACKGROUND: Commonly employed clustering methods for analysis of gene expression data do not directly incorporate phenotypic data about the samples. Furthermore, clustering of samples with known phenotypes is typically performed in an informal fashion. The inability of clustering algorithms to incor...

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Detalles Bibliográficos
Autores principales: Bushel, Pierre R, Wolfinger, Russell D, Gibson, Greg
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1839893/
https://www.ncbi.nlm.nih.gov/pubmed/17408499
http://dx.doi.org/10.1186/1752-0509-1-15

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1839893/
https://www.ncbi.nlm.nih.gov/pubmed/17408499
http://dx.doi.org/10.1186/1752-0509-1-15

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