Nonparametric tests for differential gene expression and interaction effects in multi-factorial microarray experiments

BACKGROUND: Numerous nonparametric approaches have been proposed in literature to detect differential gene expression in the setting of two user-defined groups. However, there is a lack of nonparametric procedures to analyze microarray data with multiple factors attributing to the gene expression. F...

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Detalles Bibliográficos
Autores principales: Gao, Xin, Song, Peter XK
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1199581/
https://www.ncbi.nlm.nih.gov/pubmed/16042764
http://dx.doi.org/10.1186/1471-2105-6-186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1199581/
https://www.ncbi.nlm.nih.gov/pubmed/16042764
http://dx.doi.org/10.1186/1471-2105-6-186

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