NBAMSeq: Negative Binomial Additive Model for RNA-Seq Data

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.

Package details

AuthorXu Ren [aut, cre], Pei Fen Kuan [aut]
Bioconductor views Coverage DifferentialExpression GeneExpression RNASeq Sequencing
MaintainerXu Ren <[email protected]>
LicenseGPL-2
Version1.0.1
URL https://github.com/reese3928/NBAMSeq
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("NBAMSeq")

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NBAMSeq documentation built on Aug. 19, 2019, 2:01 a.m.