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 <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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NBAMSeq documentation built on Nov. 8, 2020, 6:26 p.m.