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MBttest

Multiple Beta t-Tests

Bioconductor version: 3.23 · Package version: 1.40.0

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.

Installation

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

BiocManager::install("MBttest")

Details

MaintainerYuan-De Tan <tanyuande@gmail.com>
AuthorYuan-De Tan
LicenseGPL-3
Downloads rank487
Source branchRELEASE_3_23
biocViewsAlternativeSplicing, Coverage, DifferentialExpression, DifferentialSplicing, GeneExpression, MultipleComparison, SAGE, Sequencing, Software, Transcription

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageMBttest_1.40.0.tar.gz
Windows binary (x86_64)MBttest_1.40.0.zip
macOS binary (arm64)MBttest_1.40.0.tgz
macOS binary (x86_64)MBttest_1.40.0.tgz
Dependencies

Depends: R (>= 3.3.0), stats, gplots, gtools, graphics, base, utils, grDevices

Suggests: BiocStyle, BiocGenerics