Package: muscat 1.27.2
muscat: Multi-sample multi-group scRNA-seq data analysis tools
`muscat` provides various methods and visualization tools for DS analysis in multi-sample, multi-group, multi-(cell-)subpopulation scRNA-seq data, including cell-level mixed models and methods based on aggregated “pseudobulk” data, as well as a flexible simulation platform that mimics both single and multi-sample scRNA-seq data.
Authors:
muscat_1.27.2.tar.gz
muscat_1.27.2.zip(r-4.7)muscat_1.27.2.zip(r-4.6)muscat_1.27.2.zip(r-4.5)
muscat_1.27.2.tgz(r-4.6-any)muscat_1.27.2.tgz(r-4.5-any)
muscat_1.27.2.tar.gz(r-4.7-any)muscat_1.27.2.tar.gz(r-4.6-any)
muscat_1.27.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
muscat/json (API)
NEWS
| # Install 'muscat' in R: |
| install.packages('muscat', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/helenalc/muscat/issues
- example_sce - Example datasets
On BioConductor:muscat-1.27.0(bioc 3.24)muscat-1.26.0(bioc 3.23)
immunooncologydifferentialexpressionsequencingsinglecellsoftwarestatisticalmethodvisualization
Last updated from:85db626281. Checks:6 NOTE, 2 ERROR, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 256 | ||
| linux-devel-x86_64 | ERROR | 435 | ||
| source / vignettes | OK | 559 | ||
| linux-release-x86_64 | NOTE | 472 | ||
| macos-release-arm64 | NOTE | 387 | ||
| macos-oldrel-arm64 | NOTE | 311 | ||
| windows-devel | ERROR | 450 | ||
| windows-release | NOTE | 412 | ||
| windows-oldrel | NOTE | 450 | ||
| wasm-release | OK | 204 |
Exports:aggregateDatabbhwcalcExprFreqsgBHmmDSpbDDpbDSpbFlattenpbHeatmappbMDSprepSCEprepSimresDSsimDatastagewise_DS_DD
Dependencies:abindaodassortheadbackportsbase64encbeachmatbeeswarmBHBiobaseBiocGenericsBiocNeighborsBiocParallelBiocSingularbitopsblmebootbroomCairocaToolscirclizecliclueclustercodetoolscolorspaceComplexHeatmapcorpcorcowplotcpp11crayonDelayedArrayDerivdigestdoBydoParalleldplyrdqrngedgeREnvStatsfANCOVAfarverFNNforeachforecastformatRfracdifffutile.loggerfutile.optionsgenericsGenomicRangesGetoptLongggbeeswarmggplot2ggrastrggrepelglmmTMBGlobalOptionsgluegplotsgridExtragtablegtoolshmsIRangesirlbaisobanditeratorsjsonliteKernSmoothlabelinglambda.rlatticelifecyclelimmalme4lmerTestlmtestlocfitmagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmicrobenchmarkminqamodelrmvtnormnlmenloptrnnetnortestnumDerivpbkrtestpheatmappillarpkgconfigplyrpngprettyunitsprogresspurrrR6raggrbibutilsRColorBrewerRcppRcppAnnoyRcppArmadilloRcppEigenRcppMLRcppProgressRdpackreformulasremaCorreshape2RhpcBLASctlrjsonrlangRSpectrarsvdRtsneS4ArraysS4VectorsS7sandwichScaledMatrixscalesscaterscuttleSeqinfoshapeSingleCellExperimentsitmosnowSparseArraystatmodstringistringrSummarizedExperimentsystemfontstextshapingtibbletidyrtidyselecttimeDateTMBurcautf8uwotvariancePartitionvctrsviporviridisviridisLitewithrXVectorzoo
Differential state analysis with muscat
Rendered fromanalysis.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2026-06-04
Started: 2020-02-04
Simulating complex design scRNA-seq data with muscat
Rendered fromsimulation.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2026-06-04
Started: 2020-02-04
Differential detection analysis
Rendered fromdetection.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2026-03-08
Started: 2024-10-07
Increasing power with bulk-based hypothesis weighing (bbhw)
Rendered frombbhw.Rmdusingknitr::rmarkdownon Jun 04 2026.Last update: 2025-12-18
Started: 2025-02-12
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Aggregation of single-cell to pseudobulk data | aggregateData |
| bbhw: Bulk-based hypothesis weighing | bbhw |
| calcExprFreqs | calcExprFreqs |
| Example datasets | data example_sce |
| gBH - Grouped Benjamini-Hochberg procedure | gBH |
| DS analysis using mixed-models (MM) | .mm_dream .mm_dream2 .mm_glmm .mm_vst mmDS |
| pseudobulk DS analysis | pbDD pbDS |
| pbFlatten Flatten pseudobulk SCE | pbFlatten |
| Heatmap of cluster-sample pseudobulks | pbHeatmap |
| Pseudobulk-level MDS plot | pbMDS |
| Prepare SCE for DS analysis | prepSCE |
| SCE preparation for 'simData' | prepSim |
| resDS Formatting of DS analysis results | resDS |
| simData | simData |
| Perform two-stage testing on DS and DD analysis results | stagewise_DS_DD |
