To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("XBSeq")

In most cases, you don't need to download the package archive at all.

XBSeq

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see XBSeq.

Test for differential expression for RNA-seq data

Bioconductor version: 3.4

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("XBSeq")

Documentation

PDF Reference Manual
Text NEWS

Details

Version 1.4.0
In Bioconductor since BioC 3.2 (R-3.2) (1.5 years)
License GPL (>=3)
Depends DESeq2, R (>= 3.2.0)
LinkingTo
SystemRequirements
Enhances
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source XBSeq_1.4.0.tar.gz
Windows Binary XBSeq_1.4.0.zip
Mac OS X 10.9 (Mavericks) XBSeq_1.4.0.tgz
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