This is the released version of immunoClust; for the devel version, see immunoClust.
immunoClust - Automated Pipeline for Population Detection in Flow CytometryBioconductor version: Release (3.21)
immunoClust is a model based clustering approach for Flow Cytometry samples. The cell-events of single Flow Cytometry samples are modelled by a mixture of multinominal normal- or t-distributions. The cell-event clusters of several samples are modelled by a mixture of multinominal normal-distributions aiming stable co-clusters across these samples.
Author: Till Soerensen [aut, cre]
Maintainer: Till Soerensen <till.soerensen at bioretis.com>
Citation (from within R, entercitation("immunoClust")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("immunoClust")
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("immunoClust")
Details biocViews CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, SingleCell, Software Version 1.40.0 In Bioconductor since BioC 3.1 (R-3.2) (10 years) License Artistic-2.0 Depends R (>= 3.6), flowCore Imports methods, stats, graphics, grid, lattice, grDevices System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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