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 |
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| Bioconductor views | Coverage DifferentialExpression GeneExpression RNASeq Sequencing |
| Maintainer | |
| License | GPL-2 |
| Version | 1.7.1 |
| URL | https://github.com/reese3928/NBAMSeq |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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