DOI: 10.18129/B9.bioc.XBSeq    

This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see XBSeq.

Test for differential expression for RNA-seq data

Bioconductor version: 3.7

We developed a novel algorithm, XBSeq, where a statistical model was established based on the assumption that observed signals are the convolution of true expression signals and sequencing noises. The mapped reads in non-exonic regions are considered as sequencing noises, which follows a Poisson distribution. Given measureable observed and noise signals from RNA-seq data, true expression signals, assuming governed by the negative binomial distribution, can be delineated and thus the accurate detection of differential expressed genes.

Author: Yuanhang Liu

Maintainer: Yuanhang Liu <liuy12 at uthscsa.edu>

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biocViews DifferentialExpression, ExperimentalDesign, RNASeq, Sequencing, Software
Version 1.12.0
In Bioconductor since BioC 3.2 (R-3.2) (3 years)
License GPL (>=3)
Depends DESeq2, R (>= 3.3)
Imports pracma, matrixStats, locfit, ggplot2, methods, Biobase, dplyr, magrittr, roar
Suggests knitr, DESeq, rmarkdown, BiocStyle, testthat
URL https://github.com/Liuy12/XBSeq
Depends On Me
Imports Me
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