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Model-based Analysis of Single Cell Transcriptomics

Bioconductor version: Release (3.19)

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>

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


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An Introduction to MAST HTML R Script
Interoptability between MAST and SingleCellExperiment-derived packages HTML R Script
Using MAST for filtering, differential expression and gene set enrichment in MAIT cells HTML R Script
Reference Manual PDF


biocViews DifferentialExpression, GeneExpression, GeneSetEnrichment, RNASeq, SingleCell, Software, Transcriptomics
Version 1.30.0
In Bioconductor since BioC 3.4 (R-3.3) (7.5 years)
License GPL(>= 2)
Depends SingleCellExperiment(>= 1.2.0), R (>= 3.5)
Imports Biobase, BiocGenerics, S4Vectors, data.table, ggplot2, plyr, stringr, abind, methods, parallel, reshape2, stats, stats4, graphics, utils, SummarizedExperiment(>= 1.5.3), progress, Matrix
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Suggests knitr, rmarkdown, testthat, lme4 (>= 1.0), blme, roxygen2 (> 6.0.0), numDeriv, car, gdata, lattice, GGally, GSEABase, NMF, TxDb.Hsapiens.UCSC.hg19.knownGene, rsvd, limma, RColorBrewer, BiocStyle, scater, DelayedArray, HDF5Array, zinbwave, dplyr
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Depends On Me POWSC
Imports Me benchdamic, celaref, singleCellTK, DWLS
Suggests Me clusterExperiment, EWCE, MARVEL, Seurat
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Source Package MAST_1.30.0.tar.gz
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