To install this package, start R and enter:

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

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

MBttest

   

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see MBttest.

Multiple Beta t-Tests

Bioconductor version: 3.3

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>

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

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 1.0.0
In Bioconductor since BioC 3.3 (R-3.3) (< 6 months)
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.

Package Source MBttest_1.0.0.tar.gz
Windows Binary MBttest_1.0.0.zip
Mac OS X 10.9 (Mavericks) MBttest_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/MBttest/tree/release-3.3
Package Short Url http://bioconductor.org/packages/MBttest/
Package Downloads Report Download Stats

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