MBttest

This is the development version of MBttest; for the stable release version, see MBttest.

Multiple Beta t-Tests

Bioconductor version: Development (3.18)

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 (version "4.3") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("MBttest")

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

Documentation

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

browseVignettes("MBttest")

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

Details

biocViews	AlternativeSplicing, Coverage, DifferentialExpression, DifferentialSplicing, GeneExpression, MultipleComparison, SAGE, Sequencing, Software, Transcription
Version	1.29.0
In Bioconductor since	BioC 3.3 (R-3.3) (7.5 years)
License	GPL-3
Depends	R (>= 3.3.0), stats, gplots, gtools, graphics, base, utils, grDevices
Imports
Linking To
Suggests	BiocStyle, BiocGenerics
System Requirements
Enhances
URL

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	MBttest_1.29.0.tar.gz
Windows Binary	MBttest_1.29.0.zip (64-bit only)
macOS Binary (x86_64)	MBttest_1.29.0.tgz
macOS Binary (arm64)	MBttest_1.29.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/MBttest
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/MBttest
Bioc Package Browser	https://code.bioconductor.org/browse/MBttest/
Package Short Url	https://bioconductor.org/packages/MBttest/
Package Downloads Report	Download Stats