Integrative analysis of multiple gene expression profiles with quality-adjusted effect size models

BACKGROUND: With the explosion of microarray studies, an enormous amount of data is being produced. Systematic integration of gene expression data from different sources increases statistical power of detecting differentially expressed genes and allows assessment of heterogeneity. The challenge, how...

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Detalles Bibliográficos
Autores principales: Hu, Pingzhao, Greenwood, Celia MT, Beyene, Joseph
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1173085/
https://www.ncbi.nlm.nih.gov/pubmed/15921507
http://dx.doi.org/10.1186/1471-2105-6-128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1173085/
https://www.ncbi.nlm.nih.gov/pubmed/15921507
http://dx.doi.org/10.1186/1471-2105-6-128

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