High-throughput sequencing experiments followed by differential expression analysis is a widely used approach to detect genomic biomarkers. A fundamental step in differential expression analysis is to model the association between gene counts and covariates of interest. NBAMSeq a flexible statistical model based on the generalized additive model and allows for information sharing across genes in variance estimation.
|Author||Xu Ren [aut, cre], Pei Fen Kuan [aut]|
|Bioconductor views||Coverage DifferentialExpression GeneExpression RNASeq Sequencing|
|Maintainer||Xu Ren <email@example.com>|
|Package repository||View on Bioconductor|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.