Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data

BACKGROUND: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, classical t-statistic and moderated t-statistics. Even though these methods return gene lists that are often dissimilar, few...

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Detalles Bibliográficos
Autores principales: Jeffery, Ian B, Higgins, Desmond G, Culhane, Aedín C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1544358/
https://www.ncbi.nlm.nih.gov/pubmed/16872483
http://dx.doi.org/10.1186/1471-2105-7-359

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1544358/
https://www.ncbi.nlm.nih.gov/pubmed/16872483
http://dx.doi.org/10.1186/1471-2105-7-359

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