pcxnData
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see pcxnData.
Correlation coefficients and p values between pre-defined pathway/gene sets
Bioconductor version: 3.18
PCxN database contains correlation coefficients and p values between pre-defined gene sets within MSigDB H hallmark gene sets, MSigDB C2 CP (Canonical pathways), MSigDB C5 GO BP gene sets and Pathprint respectively, as well as adjusted pathway correlations to account for the shared genes between pathway pairs.
Author: Sokratis Kariotis, Yered Pita-Juarez, Wenbin Wei, Winston Hide
Maintainer: Sokratis Kariotis <s.kariotis at sheffield.ac.uk>
citation("pcxnData")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("pcxnData")
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("pcxnData")
pcxnData | R Script | |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | ExperimentData, ExpressionData, GEO, Homo_sapiens_Data, MicroarrayData, OneChannelData, PathwayInteractionDatabase |
Version | 2.24.0 |
License | MIT + file LICENSE |
Depends | R (>= 3.4) |
Imports | |
System Requirements | |
URL |
See More
Suggests | pcxn |
Linking To | |
Enhances | |
Depends On Me | pcxn |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | pcxnData_2.24.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/pcxnData |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pcxnData |
Package Short Url | https://bioconductor.org/packages/pcxnData/ |
Package Downloads Report | Download Stats |