This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.
This package is for version 3.15 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see CountClust.
Bioconductor version: Release (3.15)
Fits grade of membership models (GoM, also known as admixture models) to cluster RNA-seq gene expression count data, identifies characteristic genes driving cluster memberships, and provides a visual summary of the cluster memberships.
Author: Kushal Dey [aut, cre], Joyce Hsiao [aut], Matthew Stephens [aut]
Maintainer: Kushal Dey <kkdey at uchicago.edu>
Citation (from within R,
enter citation("CountClust")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CountClust")
For older versions of R, please refer to the appropriate Bioconductor release.
Reference Manual |
biocViews | Clustering, GeneExpression, ImmunoOncology, RNASeq, Sequencing, Software, StatisticalMethod, Visualization |
Version | 1.23.1 |
In Bioconductor since | BioC 3.3 (R-3.3) (6.5 years) |
License | GPL (>= 2) |
Depends | R (>= 3.4), ggplot2 (>= 2.1.0) |
Imports | SQUAREM, slam, maptpx, plyr (>= 1.7.1), cowplot, gtools, flexmix, picante, limma, parallel, reshape2, stats, utils, graphics, grDevices |
LinkingTo | |
Suggests | knitr, kableExtra, BiocStyle, Biobase, roxygen2, RColorBrewer, devtools, xtable |
SystemRequirements | |
Enhances | |
URL | https://github.com/kkdey/CountClust |
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 | |
Windows Binary | CountClust_1.23.1.zip |
macOS Binary (x86_64) | |
Source Repository | git clone https://git.bioconductor.org/packages/CountClust |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/CountClust |
Package Short Url | https://bioconductor.org/packages/CountClust/ |
Package Downloads Report | Download Stats |
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