mumosa
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see mumosa.
Multi-Modal Single-Cell Analysis Methods
Bioconductor version: 3.18
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("mumosa")
):
Installation
To install this package, start R (version "4.3") 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 |
Details
biocViews | ImmunoOncology, RNASeq, SingleCell, Software |
Version | 1.10.0 |
In Bioconductor since | BioC 3.13 (R-4.1) (3 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 |
Linking To | |
Enhances | |
Depends On Me | OSCA.advanced |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | mumosa_1.10.0.tar.gz |
Windows Binary | mumosa_1.10.0.zip (64-bit only) |
macOS Binary (x86_64) | mumosa_1.10.0.tgz |
macOS Binary (arm64) | mumosa_1.10.0.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 |