This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see pathVar.
Bioconductor version: 3.8
This package contains the functions to find the pathways that have significantly different variability than a reference gene set. It also finds the categories from this pathway that are significant where each category is a cluster of genes. The genes are separated into clusters by their level of variability.
Author: Laurence de Torrente, Samuel Zimmerman, Jessica Mar
Maintainer: Samuel Zimmerman <samuel.e.zimmerman at gmail.com>
Citation (from within R,
enter citation("pathVar")
):
To install this package, start R (version "3.5") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("pathVar")
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("pathVar")
R Script | Tutorial on How to Use the Functions in the \texttt{PathVar} Package | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneSetEnrichment, GeneticVariability, Pathways, Software |
Version | 1.12.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (3.5 years) |
License | LGPL (>= 2.0) |
Depends | R (>= 3.3.0), methods, ggplot2, gridExtra |
Imports | EMT, mclust, Matching, data.table, stats, grDevices, graphics, utils |
LinkingTo | |
Suggests | |
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 | pathVar_1.12.0.tar.gz |
Windows Binary | pathVar_1.12.0.zip |
Mac OS X 10.11 (El Capitan) | pathVar_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/pathVar |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pathVar |
Package Short Url | http://bioconductor.org/packages/pathVar/ |
Package Downloads Report | Download Stats |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: