Comprehensive evaluation of differential gene expression analysis methods for RNA-seq data

A large number of computational methods have been developed for analyzing differential gene expression in RNA-seq data. We describe a comprehensive evaluation of common methods using the SEQC benchmark dataset and ENCODE data. We consider a number of key features, including normalization, accuracy o...

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Bibliografische gegevens
Hoofdauteurs: Rapaport, Franck, Khanin, Raya, Liang, Yupu, Pirun, Mono, Krek, Azra, Zumbo, Paul, Mason, Christopher E, Socci, Nicholas D, Betel, Doron
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2013
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Method
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4054597/
https://ncbi.nlm.nih.gov/pubmed/24020486
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2013-14-9-r95
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