ShrinkBayes: a versatile R-package for analysis of count-based sequencing data in complex study designs

BACKGROUND: Complex designs are common in (observational) clinical studies. Sequencing data for such studies are produced more and more often, implying challenges for the analysis, such as excess of zeros, presence of random effects and multi-parameter inference. Moreover, when sample sizes are smal...

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Detalles Bibliográficos
Autores principales: van de Wiel, Mark A, Neerincx, Maarten, Buffart, Tineke E, Sie, Daoud, Verheul, Henk MW
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4098777/
https://www.ncbi.nlm.nih.gov/pubmed/24766777
http://dx.doi.org/10.1186/1471-2105-15-116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4098777/
https://www.ncbi.nlm.nih.gov/pubmed/24766777
http://dx.doi.org/10.1186/1471-2105-15-116

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