MAST

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see MAST.

Model-based Analysis of Single Cell Transcriptomics

Bioconductor version: 3.6

Methods and models for handling zero-inflated single cell assay data.

Author: Andrew McDavid [aut, cre], Greg Finak [aut], Masanao Yajima [aut]

Maintainer: Andrew McDavid <Andrew_McDavid at urmc.rochester.edu>

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

To install this package, start R (version "3.4") and enter:


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

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

Reference Manual PDF

NEWS Text

Version 1.4.1

In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)

License GPL(>= 2)

Depends SummarizedExperiment(>= 1.5.3), R (>= 3.4)

Imports Biobase, BiocGenerics, S4Vectors, data.table, ggplot2, plyr, stringr, abind, methods, parallel, reshape2, stats, stats4, graphics, utils

System Requirements

Suggests knitr, rmarkdown, testthat, lme4 (>= 1.0), roxygen2 (> 4.0.0), numDeriv, car, gdata, lattice, GGally, GSEABase, NMF, TxDb.Hsapiens.UCSC.hg19.knownGene, rsvd, limma, RColorBrewer, BiocStyle

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Depends On Me

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Build Report Build Report

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

Source Package MAST_1.4.1.tar.gz

Windows Binary MAST_1.4.1.zip

Mac OS X 10.11 (El Capitan) MAST_1.4.1.tgz

Source Repository git clone https://git.bioconductor.org/packages/MAST

Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MAST

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Old Source Packages for BioC 3.6 Source Archive