This is the development version of mumosa; for the stable release version, see mumosa.
Multi-Modal Single-Cell Analysis MethodsBioconductor 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, entercitation("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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mumosa")
Details biocViews ImmunoOncology, RNASeq, SingleCell, Software Version 1.17.0 In Bioconductor since BioC 3.13 (R-4.1) (4 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 Package Archives
Follow Installation instructions to use this package in your R session.
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