XBSeq

DOI: 10.18129/B9.bioc.XBSeq    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.13 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see XBSeq.

Test for differential expression for RNA-seq data

Bioconductor version: Release (3.13)

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>

Citation (from within R, enter citation("XBSeq")):

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("XBSeq")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF   Reference Manual

Details

biocViews DifferentialExpression, ExperimentalDesign, ImmunoOncology, RNASeq, Sequencing, Software
Version 1.24.0
In Bioconductor since BioC 3.2 (R-3.2) (6 years)
License GPL (>=3)
Depends DESeq2, R (>= 3.3)
Imports pracma, matrixStats, locfit, ggplot2, methods, Biobase, dplyr, magrittr, roar
LinkingTo
Suggests knitr, DESeq, rmarkdown, BiocStyle, testthat
SystemRequirements
Enhances
URL https://github.com/Liuy12/XBSeq
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository git clone https://git.bioconductor.org/packages/XBSeq
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/XBSeq
Package Short Url https://bioconductor.org/packages/XBSeq/
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