Considerations when using the significance analysis of microarrays (SAM) algorithm

BACKGROUND: Users of microarray technology typically strive to use universally acceptable data analysis strategies to determine significant expression changes in their experiments. One of the most frequently utilised methods for gene expression data analysis is SAM (significance analysis of microarr...

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Detalles Bibliográficos
Autores principales: Larsson, Ola, Wahlestedt, Claes, Timmons, James A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Correspondence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1173086/
https://www.ncbi.nlm.nih.gov/pubmed/15921534
http://dx.doi.org/10.1186/1471-2105-6-129

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1173086/
https://www.ncbi.nlm.nih.gov/pubmed/15921534
http://dx.doi.org/10.1186/1471-2105-6-129

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