Testing for association between RNA-Seq and high-dimensional data

BACKGROUND: Testing for association between RNA-Seq and other genomic data is challenging due to high variability of the former and high dimensionality of the latter. RESULTS: Using the negative binomial distribution and a random-effects model, we develop an omnibus test that overcomes both difficul...

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Publicado en:BMC Bioinformatics
Autores principales: Rauschenberger, Armin, Jonker, Marianne A., van de Wiel, Mark A., Menezes, Renée X.
Formato: Artigo
Lenguaje:Inglês
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC4782413/
https://ncbi.nlm.nih.gov/pubmed/26951498
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-0961-5
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