Package: MAST 1.39.0
MAST: Model-based Analysis of Single Cell Transcriptomics
Methods and models for handling zero-inflated single cell assay data.
Authors:
MAST_1.39.0.tar.gz
MAST_1.39.0.zip(r-4.7)MAST_1.39.0.zip(r-4.6)MAST_1.39.0.zip(r-4.5)
MAST_1.39.0.tgz(r-4.6-any)MAST_1.39.0.tgz(r-4.5-any)
MAST_1.39.0.tar.gz(r-4.7-any)MAST_1.39.0.tar.gz(r-4.6-any)
MAST_1.39.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MAST/json (API)
NEWS
| # Install 'MAST' in R: |
| install.packages('MAST', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rglab/mast/issues
- maits - MAITs data set, RNASeq
- predicted_sig - Predicted signatures
- vbeta - Vbeta Data Set
- vbetaFA - Vbeta Data Set, FluidigmAssay
On BioConductor:MAST-1.39.0(bioc 3.24)MAST-1.38.0(bioc 3.23)
geneexpressiondifferentialexpressiongenesetenrichmentrnaseqtranscriptomicssinglecell
Last updated from:33e2f7332b. Checks:1 WARNING, 7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | WARNING | 296 | ||
| linux-devel-x86_64 | NOTE | 546 | ||
| source / vignettes | OK | 518 | ||
| linux-release-x86_64 | NOTE | 496 | ||
| macos-release-arm64 | NOTE | 333 | ||
| macos-oldrel-arm64 | NOTE | 304 | ||
| windows-devel | NOTE | 564 | ||
| windows-release | NOTE | 550 | ||
| windows-oldrel | NOTE | 713 | ||
| wasm-release | OK | 221 |
Exports:assay_idxbootVcov1burdenOfFilteringcalcZCoefficientHypothesiscolData<-collectResidualscombined_residuals_hookcomputeEtFromCtcondmeancondSdcontinuous_residuals_hookconvertMASTClassicToSingleCellAssaydefaultPriordeviance_residuals_hookdiscrete_residuals_hookexpavgfilterLowExpressedGenesfitted_phatfreqFromFlatDFFromMatrixgetConcordancegetLogFCgetrcgetssgetwellKeygetwssgsea_controlgseaAfterBoothushWarningHypothesisimputeinvlogitlogFClogLiklogmeanLRTlrTestmast_filtermelt.SingleCellAssaynumexppartialScorepbootVcov1plotSCAConcordanceprimerAverageread.fluidigmSceToSingleCellAssayse.coefshowsplitstat_ellsubsetsummarythresholdSCRNACountMatrixupdatevcovwaldTestzlm
Dependencies:abindBiobaseBiocGenericsclicpp11crayondata.tableDelayedArrayfarvergenericsGenomicRangesggplot2gluegtablehmsIRangesisobandlabelinglatticelifecyclemagrittrMatrixMatrixGenericsmatrixStatspkgconfigplyrprettyunitsprogressR6RColorBrewerRcppreshape2rlangS4ArraysS4VectorsS7scalesSeqinfoSingleCellExperimentSparseArraystringistringrSummarizedExperimentvctrsviridisLitewithrXVector
MAST Intro
Rendered fromMAST-Intro.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2025-10-14
Started: 2017-08-23
Interoptability between MAST and SingleCellExperiment-derived packages.
Rendered fromMAST-interoperability.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2023-04-20
Started: 2018-05-16
Using MAST with RNASeq: MAIT Analysis.
Rendered fromMAITAnalysis.Rmdusingknitr::rmarkdownon May 29 2026.Last update: 2020-03-21
Started: 2016-10-12
