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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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Detalhes bibliográficos
Main Authors: van de Wiel, Mark A, Neerincx, Maarten, Buffart, Tineke E, Sie, Daoud, Verheul, Henk MW
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4098777/
https://ncbi.nlm.nih.gov/pubmed/24766777
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-15-116
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