Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments

BACKGROUND: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increasingly popular to solve this type of problems. These models show good performance in accommodating noise, variability and...

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Detalles Bibliográficos
Autores principales: Zhao, Hongya, Chan, Kwok-Leung, Cheng, Lee-Ming, Yan, Hong
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2259410/
https://www.ncbi.nlm.nih.gov/pubmed/18315862
http://dx.doi.org/10.1186/1471-2105-9-S1-S9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2259410/
https://www.ncbi.nlm.nih.gov/pubmed/18315862
http://dx.doi.org/10.1186/1471-2105-9-S1-S9

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