Differential expression analysis for RNAseq using Poisson mixed models

Identifying differentially expressed (DE) genes from RNA sequencing (RNAseq) studies is among the most common analyses in genomics. However, RNAseq DE analysis presents several statistical and computational challenges, including over-dispersed read counts and, in some settings, sample non-independen...

Descripción completa

Detalles Bibliográficos
Autores principales: Sun, Shiquan, Hood, Michelle, Scott, Laura, Peng, Qinke, Mukherjee, Sayan, Tung, Jenny, Zhou, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Methods Online
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499851/
https://www.ncbi.nlm.nih.gov/pubmed/28369632
http://dx.doi.org/10.1093/nar/gkx204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499851/
https://www.ncbi.nlm.nih.gov/pubmed/28369632
http://dx.doi.org/10.1093/nar/gkx204

Ejemplares similares