Error estimates for the analysis of differential expression from RNA-seq count data

Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of differential gene expression. Problems inherent in building algorithms around statistical models of over dispersed count data are formidable and frequently lead to non-uniform p-value distributions for nu...

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Detalles Bibliográficos
Autores principales: Burden, Conrad J., Qureshi, Sumaira E., Wilson, Susan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2014
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179614/
https://www.ncbi.nlm.nih.gov/pubmed/25337456
http://dx.doi.org/10.7717/peerj.576

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179614/
https://www.ncbi.nlm.nih.gov/pubmed/25337456
http://dx.doi.org/10.7717/peerj.576

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