Cargando…
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
A flexible statistical framework is developed for the analysis of read counts from RNA-Seq gene expression studies. It provides the ability to analyse complex experiments involving multiple treatment conditions and blocking variables while still taking full account of biological variation. Biologica...
Autores principales: | McCarthy, Davis J., Chen, Yunshun, Smyth, Gordon K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3378882/ https://www.ncbi.nlm.nih.gov/pubmed/22287627 http://dx.doi.org/10.1093/nar/gks042 |
Ejemplares similares
-
From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipeline
por: Chen, Yunshun, et al.
Publicado: (2016) -
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
por: Law, Charity W, et al.
Publicado: (2014) -
Modelling and simulating generic RNA-Seq experiments with the flux simulator
por: Griebel, Thasso, et al.
Publicado: (2012) -
R code and downstream analysis objects for the scRNA-seq atlas of normal and tumorigenic human breast tissue
por: Chen, Yunshun, et al.
Publicado: (2022) -
Differential methylation analysis of reduced representation bisulfite sequencing experiments using edgeR
por: Chen, Yunshun, et al.
Publicado: (2018)