AnovArray: a set of SAS macros for the analysis of variance of gene expression data

BACKGROUND: Analysis of variance is a powerful approach to identify differentially expressed genes in a complex experimental design for microarray and macroarray data. The advantage of the anova model is the possibility to evaluate multiple sources of variation in an experiment. RESULTS: AnovArray i...

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Detalles Bibliográficos
Autores principales: Hennequet-Antier, Christelle, Chiapello, Hélène, Piot, Karine, Degrelle, Séverine, Hue, Isabelle, Renard, Jean-Paul, Rodolphe, François, Robin, Stéphane
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1177927/
https://www.ncbi.nlm.nih.gov/pubmed/15960854
http://dx.doi.org/10.1186/1471-2105-6-150

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1177927/
https://www.ncbi.nlm.nih.gov/pubmed/15960854
http://dx.doi.org/10.1186/1471-2105-6-150

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