Unsupervised assessment of microarray data quality using a Gaussian mixture model

BACKGROUND: Quality assessment of microarray data is an important and often challenging aspect of gene expression analysis. This task frequently involves the examination of a variety of summary statistics and diagnostic plots. The interpretation of these diagnostics is often subjective, and generall...

Descripción completa

Detalles Bibliográficos
Autores principales: Howard, Brian E, Sick, Beate, Heber, Steffen
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717951/
https://www.ncbi.nlm.nih.gov/pubmed/19545436
http://dx.doi.org/10.1186/1471-2105-10-191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2717951/
https://www.ncbi.nlm.nih.gov/pubmed/19545436
http://dx.doi.org/10.1186/1471-2105-10-191

Ejemplares similares