condcomp

This package is for version 3.9 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see condcomp.

Condition Comparison in scRNA-seq Data


Bioconductor version: 3.9

For a given clustered data, which can also be split into two conditions, this package provides a way to perform a condition comparison on said clustered data. The comparison is performed on each cluster. Several statistics are used and, when analysed in conjunction, they might give some insight regarding the heterogeneity of some of the clusters.

Author: Diogo P. P. Branco [aut, cre]

Maintainer: Diogo P. P. Branco <diogo.pp.branco at gmail.com>

Citation (from within R, enter citation("condcomp")):

Installation

To install this package, start R (version "3.6") and enter:


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

BiocManager::install("condcomp")

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("condcomp")
scRNA-seq data heterogeneity with condcomp HTML R Script
Reference Manual PDF
LICENSE Text

Details

biocViews Clustering, ImmunoOncology, SingleCell, Software, Visualization
Version 1.1.1
In Bioconductor since BioC 3.8 (R-3.5) (5.5 years)
License GPL (>=2) | file LICENSE
Depends R (>= 3.5.0)
Imports cluster, ggplot2, ggrepel, outliers
System Requirements
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Suggests testthat, knitr, rmarkdown, BiocStyle, Matrix, Seurat, monocle, HSMMSingleCell
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package condcomp_1.1.1.tar.gz
Windows Binary condcomp_1.1.1.zip
Mac OS X 10.11 (El Capitan) condcomp_1.1.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/condcomp
Source Repository (Developer Access) git clone [email protected]:packages/condcomp
Bioc Package Browser https://code.bioconductor.org/browse/condcomp/
Package Short Url https://bioconductor.org/packages/condcomp/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.9 Source Archive