mumosa

This is the released version of mumosa; for the devel version, see mumosa.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13

Multi-Modal Single-Cell Analysis Methods

Bioconductor version: Release (3.23)

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")):

Aaron Lun. mumosa: Multi-Modal Single-Cell Analysis Methods. doi:10.18129/B9.bioc.mumosa, R package version 1.20.0, https://bioconductor.org/packages/mumosa.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ImmunoOncology, RNASeq, SingleCell, Software
Version	1.20.0
In Bioconductor since	BioC 3.13 (R-4.1) (5.5 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/

Suggests	testthat, knitr, BiocStyle, rmarkdown, scater, bluster, DropletUtils, scRNAseq
Linking To
Enhances
Depends On Me	OSCA.advanced
Imports Me
Suggests Me	Ibex
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	mumosa_1.20.0.tar.gz
Windows Binary (x86_64)	mumosa_1.20.0.zip
macOS Binary (big-sur-x86_64)	mumosa_1.20.0.tgz
macOS Binary (sonoma-arm64)	mumosa_1.20.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/mumosa
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/mumosa
Package Short Url	https://bioconductor.org/packages/mumosa/
Package Downloads Report	Download Stats