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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Detalles Bibliográficos
Autores principales: Rapaport, Franck, Khanin, Raya, Liang, Yupu, Pirun, Mono, Krek, Azra, Zumbo, Paul, Mason, Christopher E, Socci, Nicholas D, Betel, Doron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054597/
https://www.ncbi.nlm.nih.gov/pubmed/24020486
http://dx.doi.org/10.1186/gb-2013-14-9-r95

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054597/
https://www.ncbi.nlm.nih.gov/pubmed/24020486
http://dx.doi.org/10.1186/gb-2013-14-9-r95

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