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This is the development version of mumosa; for the stable release version, see mumosa.

Multi-Modal Single-Cell Analysis Methods

Bioconductor version: Development (3.19)

Assorted utilities for multi-modal analyses of single-cell datasets. Includes functions to combine multiple modalities for downstream analysis, perform MNN-based batch correction across multiple modalities, and to compute correlations between assay values for different modalities.

Author: Aaron Lun [aut, cre]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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Reference Manual PDF


biocViews ImmunoOncology, RNASeq, SingleCell, Software
Version 1.11.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License GPL-3
Depends SingleCellExperiment
Imports stats, utils, methods, igraph, Matrix, BiocGenerics, BiocParallel, IRanges, S4Vectors, DelayedArray, DelayedMatrixStats, SummarizedExperiment, BiocNeighbors, BiocSingular, ScaledMatrix, beachmat, scuttle, metapod, scran, batchelor, uwot
System Requirements
URL http://bioconductor.org/packages/mumosa
Bug Reports https://support.bioconductor.org/
See More
Suggests testthat, knitr, BiocStyle, rmarkdown, scater, bluster, DropletUtils, scRNAseq
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Package Archives

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

Source Package mumosa_1.11.0.tar.gz
Windows Binary mumosa_1.11.0.zip
macOS Binary (x86_64) mumosa_1.11.0.tgz
macOS Binary (arm64) mumosa_1.11.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/mumosa
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mumosa
Bioc Package Browser https://code.bioconductor.org/browse/mumosa/
Package Short Url https://bioconductor.org/packages/mumosa/
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