immunoClust
This is the development version of immunoClust; for the stable release version, see immunoClust.
immunoClust - Automated Pipeline for Population Detection in Flow Cytometry
Bioconductor version: Development (3.24)
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("immunoClust")):
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.
Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("immunoClust")
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("immunoClust")| immunoClust package | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | CellBasedAssays, Clustering, FlowCytometry, ImmunoOncology, SingleCell, Software |
| Version | 1.45.1 |
| In Bioconductor since | BioC 3.1 (R-3.2) (11.5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.2), flowCore |
| Imports | methods, stats, graphics, grid, lattice, grDevices |
| System Requirements | |
| URL |
See More
| Suggests | BiocStyle, utils, testthat |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | immunoClust_1.45.1.tar.gz |
| Windows Binary (x86_64) | immunoClust_1.45.1.zip |
| macOS Binary (big-sur-x86_64) | immunoClust_1.45.1.tgz |
| macOS Binary (sonoma-arm64) | immunoClust_1.45.1.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 |