mumosa

Multi-Modal Single-Cell Analysis Methods


Bioconductor version: Release (3.20)

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")):

Installation

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


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

BiocManager::install("mumosa")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mumosa")
Overview HTML R Script
Reference Manual PDF

Details

biocViews ImmunoOncology, RNASeq, SingleCell, Software
Version 1.14.0
In Bioconductor since BioC 3.13 (R-4.1) (3.5 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_1.14.0.tar.gz
Windows Binary (x86_64) mumosa_1.14.0.zip (64-bit only)
macOS Binary (x86_64) mumosa_1.14.0.tgz
macOS Binary (arm64) mumosa_1.14.0.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/
Package Downloads Report Download Stats