mumosa

DOI: 10.18129/B9.bioc.mumosa  

Multi-Modal Single-Cell Analysis Methods

Bioconductor version: Release (3.16)

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 "4.2") 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")

 

HTML R Script Overview
PDF   Reference Manual

Details

biocViews ImmunoOncology, RNASeq, SingleCell, Software
Version 1.6.0
In Bioconductor since BioC 3.13 (R-4.1) (2 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
LinkingTo
Suggests testthat, knitr, BiocStyle, rmarkdown, scater, bluster, DropletUtils, scRNAseq
SystemRequirements
Enhances
URL http://bioconductor.org/packages/mumosa
BugReports https://support.bioconductor.org/
Depends On Me OSCA.advanced
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package mumosa_1.6.0.tar.gz
Windows Binary mumosa_1.6.0.zip (64-bit only)
macOS Binary (x86_64) mumosa_1.6.0.tgz
macOS Binary (arm64) mumosa_1.6.0.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

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: