MBttest

DOI: 10.18129/B9.bioc.MBttest    

Multiple Beta t-Tests

Bioconductor version: Release (3.6)

MBttest method was developed from beta t-test method of Baggerly et al(2003). Compared to baySeq (Hard castle and Kelly 2010), DESeq (Anders and Huber 2010) and exact test (Robinson and Smyth 2007, 2008) and the GLM of McCarthy et al(2012), MBttest is of high work efficiency,that is, it has high power, high conservativeness of FDR estimation and high stability. MBttest is suit- able to transcriptomic data, tag data, SAGE data (count data) from small samples or a few replicate libraries. It can be used to identify genes, mRNA isoforms or tags differentially expressed between two conditions.

Author: Yuan-De Tan

Maintainer: Yuan-De Tan <tanyuande at gmail.com>

Installation

To install this package, start R and enter:

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MBttest")

 

PDF	R Script	Analysing RNA-Seq count data with the "MBttest" package
PDF		Reference Manual
Text		NEWS

Details

biocViews	AlternativeSplicing, Coverage, DifferentialExpression, DifferentialSplicing, GeneExpression, MultipleComparison, SAGE, Sequencing, Software, Transcription
Version	1.5.0
In Bioconductor since	BioC 3.3 (R-3.3) (2 years)
License	GPL-3
Depends	R (>= 3.3.0), stats, gplots, gtools, graphics, base, utils, grDevices
Imports
LinkingTo
Suggests	BiocStyle, BiocGenerics
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	MBttest_1.5.0.tar.gz
Windows Binary	MBttest_1.5.0.zip
Mac OS X 10.11 (El Capitan)	MBttest_1.5.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MBttest
Package Short Url	http://bioconductor.org/packages/MBttest/
Package Downloads Report	Download Stats