This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see pcxn.
Bioconductor version: 3.16
Discover the correlated pathways/gene sets of a single pathway/gene set or discover correlation relationships among multiple pathways/gene sets. Draw a heatmap or create a network of your query and extract members of each pathway/gene set found in the available collections (MSigDB H hallmark, MSigDB C2 Canonical pathways, MSigDB C5 GO BP and Pathprint).
Author: Sokratis Kariotis, Yered Pita-Juarez, Winston Hide, Wenbin Wei
Maintainer: Sokratis Kariotis <s.kariotis at sheffield.ac.uk>
Citation (from within R,
enter citation("pcxn")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("pcxn")
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("pcxn")
R Script | pcxn | |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | ExperimentData, ExpressionData, GEO, Homo_sapiens_Data, MicroarrayData, OneChannelData, PathwayInteractionDatabase, Software |
Version | 2.20.0 |
In Bioconductor since | BioC 3.6 (R-3.4) (5.5 years) |
License | MIT + file LICENSE |
Depends | R (>= 3.4), pcxnData |
Imports | methods, grDevices, utils, pheatmap |
LinkingTo | |
Suggests | igraph, annotate, org.Hs.eg.db |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | pcxnData |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | pcxn_2.20.0.tar.gz |
Windows Binary | pcxn_2.20.0.zip (64-bit only) |
macOS Binary (x86_64) | pcxn_2.20.0.tgz |
macOS Binary (arm64) | pcxn_2.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/pcxn |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pcxn |
Bioc Package Browser | https://code.bioconductor.org/browse/pcxn/ |
Package Short Url | https://bioconductor.org/packages/pcxn/ |
Package Downloads Report | Download Stats |
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