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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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Author | Xu Ren [aut, cre], Pei Fen Kuan [aut] |
Bioconductor views | Coverage DifferentialExpression GeneExpression RNASeq Sequencing |
Maintainer | Xu Ren <xuren2120@gmail.com> |
License | GPL-2 |
Version | 1.6.1 |
URL | https://github.com/reese3928/NBAMSeq |
Package repository | View on Bioconductor |
Installation |
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