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immunoClust

immunoClust - Automated Pipeline for Population Detection in Flow Cytometry

Bioconductor version: 3.24 · Package version: 1.45.1

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.

Installation

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

BiocManager::install("immunoClust")

Details

MaintainerTill Soerensen <till.soerensen@bioretis.com>
AuthorTill Soerensen [aut, cre]
LicenseArtistic-2.0
Downloads rank512
Source branchdevel
biocViewsCellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, SingleCell, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageimmunoClust_1.45.1.tar.gz
Windows binary (x86_64)immunoClust_1.45.1.zip
macOS binary (arm64)immunoClust_1.45.1.tgz
macOS binary (x86_64)immunoClust_1.45.1.tgz
Dependencies

Depends: R (>= 4.2), flowCore

Imports: methods, stats, graphics, grid, lattice, grDevices

Suggests: BiocStyle, utils, testthat