immunoClust: immunoClust - Automated Pipeline for Population Detection in Flow Cytometry

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.

Package details

AuthorTill Soerensen <till.soerensen@bioretis.com>
Bioconductor views CellBasedAssays Clustering FlowCytometry ImmunoOncology SingleCell
MaintainerTill Soerensen <till.soerensen@bioretis.com>
LicenseArtistic-2.0
Version1.22.0
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("immunoClust")

Try the immunoClust package in your browser

Any scripts or data that you put into this service are public.

immunoClust documentation built on Nov. 8, 2020, 5:19 p.m.