pcxn
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 3.19 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see pcxnData.
Exploring, analyzing and visualizing functions utilizing the pcxnData package
Bioconductor version: 3.19
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("pcxn")):
Installation
To install this package, start R (version "4.4") 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.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pcxn")| pcxn | R Script | |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | ExperimentData, ExpressionData, GEO, Homo_sapiens_Data, MicroarrayData, OneChannelData, PathwayInteractionDatabase, Software |
| Version | 2.26.0 |
| In Bioconductor since | BioC 3.6 (R-3.4) (7 years) |
| License | MIT + file LICENSE |
| Depends | R (>= 3.4), pcxnData |
| Imports | methods, grDevices, utils, pheatmap |
| System Requirements | |
| URL |
See More
| Suggests | igraph, annotate, org.Hs.eg.db |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | pcxnData |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | pcxn_2.26.0.tar.gz |
| Windows Binary (x86_64) | pcxn_2.26.0.zip |
| macOS Binary (x86_64) | pcxn_2.26.0.tgz |
| macOS Binary (arm64) | pcxn_2.26.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/pcxn |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pcxn |
| Package Short Url | https://bioconductor.org/packages/pcxn/ |
| Package Downloads Report | Download Stats |