A Bayesian Approach for Decision Making on the Identification of Genes with Different Expression Levels: An Application to Escherichia coli Bacterium Data

A common interest in gene expression data analysis is to identify from a large pool of candidate genes the genes that present significant changes in expression levels between a treatment and a control biological condition. Usually, it is done using a statistic value and a cutoff value that are used...

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Detalles Bibliográficos
Autores principales: Saraiva, Erlandson F., Louzada, Francisco, Milan, Luís A., Meira, Silvana, Cobre, Juliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306789/
https://www.ncbi.nlm.nih.gov/pubmed/22474543
http://dx.doi.org/10.1155/2012/953086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306789/
https://www.ncbi.nlm.nih.gov/pubmed/22474543
http://dx.doi.org/10.1155/2012/953086

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