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Normalization, testing, and false discovery rate estimation for RNA-sequencing data

We discuss the identification of genes that are associated with an outcome in RNA sequencing and other sequence-based comparative genomic experiments. RNA-sequencing data take the form of counts, so models based on the Gaussian distribution are unsuitable. Moreover, normalization is challenging beca...

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Bibliografische gegevens
Hoofdauteurs: Li, Jun, Witten, Daniela M., Johnstone, Iain M., Tibshirani, Robert
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2012
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3372940/
https://ncbi.nlm.nih.gov/pubmed/22003245
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxr031
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