ParaSAM: a parallelized version of the significance analysis of microarrays algorithm

Motivation: Significance analysis of microarrays (SAM) is a widely used permutation-based approach to identifying differentially expressed genes in microarray datasets. While SAM is freely available as an Excel plug-in and as an R-package, analyses are often limited for large datasets due to very hi...

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Detalles Bibliográficos
Autores principales: Sharma, Ashok, Zhao, Jieping, Podolsky, Robert, McIndoe, Richard A.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872005/
https://www.ncbi.nlm.nih.gov/pubmed/20400455
http://dx.doi.org/10.1093/bioinformatics/btq161

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872005/
https://www.ncbi.nlm.nih.gov/pubmed/20400455
http://dx.doi.org/10.1093/bioinformatics/btq161

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