mumosa

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

Multi-Modal Single-Cell Analysis Methods

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DOI: 10.18129/B9.bioc.mumosa

Bioconductor version: Release (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")
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 1.18.0

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_1.18.0.tar.gz

Windows Binary (x86_64) mumosa_1.18.0.zip (64-bit only)

macOS Binary (x86_64) mumosa_1.18.0.tgz

macOS Binary (arm64) mumosa_1.18.0.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