Package: XBSeq
Type: Package
Title: Test for differential expression for RNA-seq data
Version: 1.16.0
Date: 2018-03-27
Author: Yuanhang Liu
Maintainer: Yuanhang Liu <liuy12@uthscsa.edu>
Description: 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.
License: GPL (>=3)
Imports: pracma, matrixStats, locfit, ggplot2, methods, Biobase, dplyr,
        magrittr, roar
Depends: DESeq2, R (>= 3.3)
Suggests: knitr, DESeq, rmarkdown, BiocStyle, testthat
VignetteBuilder: knitr
biocViews: ImmunoOncology, RNASeq, DifferentialExpression, Sequencing,
        Software, ExperimentalDesign
URL: https://github.com/Liuy12/XBSeq
git_url: https://git.bioconductor.org/packages/XBSeq
git_branch: RELEASE_3_9
git_last_commit: ccfb20d
git_last_commit_date: 2019-05-02
Date/Publication: 2019-05-02
NeedsCompilation: no
Packaged: 2019-05-03 03:41:35 UTC; biocbuild
Built: R 3.6.0; ; 2019-05-03 14:38:40 UTC; windows
