mumosa

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

Multi-Modal Single-Cell Analysis Methods

Bioconductor version: Development (3.22)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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	1.17.0
In Bioconductor since	BioC 3.13 (R-4.1) (4.5 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

Package Archives

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

Source Package	mumosa_1.17.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)	mumosa_1.17.0.tgz
macOS Binary (arm64)	mumosa_1.17.0.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