mumosa

DOI:10.18129/B9.bioc.mumosa

Multi-Modal Single-Cell Analysis Methods

Bioconductor version: Release (3.13)

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

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("mumosa")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("mumosa")

HTML	R Script	Overview
PDF		Reference Manual

Details

biocViews	bob 体育平台下载 ,bob 体育平台下载 ,bob 体育平台下载 ,bob 体育平台下载
Version	1.0.0
In Bioconductor since	BioC 3.13 (R-4.1) (< 6 months)
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	//www.anjoumacpherson.com/packages/mumosa
BugReports	https://support.bioconductor.org/
Depends On Me	OSCA.advanced
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Followbob 体育网址 instructions to use this package in your R session.

Source Package	mumosa_1.0.0.tar.gz
Windows Binary	mumosa_1.0.0.zip
macOS 10.13 (High Sierra)	mumosa_1.0.0.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	//www.anjoumacpherson.com/packages/mumosa/
Package Downloads Report	Download Stats