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diffcyt
This is the development version of diffcyt; for the stable release version, see diffcyt.
Differential discovery in high-dimensional cytometry via high-resolution clustering
Bioconductor version: Development (3.23)
Statistical methods for differential discovery analyses in high-dimensional cytometry data (including flow cytometry, mass cytometry or CyTOF, and oligonucleotide-tagged cytometry), based on a combination of high-resolution clustering and empirical Bayes moderated tests adapted from transcriptomics.
Author: Lukas M. Weber [aut, cre] ORCID iD ORCID: 0000-0002-3282-1730
Maintainer: Lukas M. Weber <lmweb012 at gmail.com>
citation("diffcyt")):
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("diffcyt")
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("diffcyt")
Details
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Follow Installation instructions to use this package in your R session.