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CellMixS

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9

Evaluate Cellspecific Mixing


Bioconductor version: Release (3.23)

CellMixS provides metrics and functions to evaluate batch effects, data integration and batch effect correction in single cell trancriptome data with single cell resolution. Results can be visualized and summarised on different levels, e.g. on cell, celltype or dataset level.

Author: Almut Lütge [aut, cre]

Maintainer: Almut Lütge <almut.lue at gmail.com>

Citation (from within R, enter citation("CellMixS")):

Almut Lütge. CellMixS: Evaluate Cellspecific Mixing. doi:10.18129/B9.bioc.CellMixS, R package version 1.28.0, https://bioconductor.org/packages/CellMixS.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("CellMixS")

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("CellMixS")
Explore data integration and batch effects HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews BatchEffect, GeneExpression, SingleCell, Software, Transcriptomics
Version1.28.0
In Bioconductor sinceBioC 3.9 (R-3.6) (7.5 years)
License GPL (>=2)
Depends kSamples, R (>= 4.0)
Imports BiocNeighbors, ggplot2, scater, viridis, cowplot, SummarizedExperiment, SingleCellExperiment, tidyr, magrittr, dplyr, ggridges, stats, purrr, methods, BiocParallel, BiocGenerics
System Requirements
URLhttps://github.com/almutlue/CellMixS
Bug Reportshttps://github.com/almutlue/CellMixS/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat, limma, Rtsne
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Package Archives

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

Source Package CellMixS_1.28.0.tar.gz
Windows Binary (x86_64) CellMixS_1.28.0.zip
macOS Binary (big-sur-x86_64) CellMixS_1.28.0.tgz
macOS Binary (sonoma-arm64) CellMixS_1.28.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/CellMixS
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/CellMixS
Package Short Url https://bioconductor.org/packages/CellMixS/
Package Downloads ReportDownload Stats