Bioconductor version: Release (3.17)
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,
enter citation("immunoClust")
):
To install this package, start R (version "4.3") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("immunoClust")
R Script | immunoClust package | |
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, SingleCell, Software |
Version | 1.32.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (8.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.6), flowCore |
Imports | methods, stats, graphics, grid, lattice, grDevices |
LinkingTo | |
Suggests | BiocStyle, utils, testthat |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | immunoClust_1.32.0.tar.gz |
Windows Binary | immunoClust_1.32.0.zip |
macOS Binary (x86_64) | immunoClust_1.32.0.tgz |
macOS Binary (arm64) | immunoClust_1.32.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/immunoClust |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/immunoClust |
Bioc Package Browser | https://code.bioconductor.org/browse/immunoClust/ |
Package Short Url | https://bioconductor.org/packages/immunoClust/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: