copa
This is the development version of copa; for the stable release version, see copa.
Functions to perform cancer outlier profile analysis.
Bioconductor version: Development (3.21)
COPA is a method to find genes that undergo recurrent fusion in a given cancer type by finding pairs of genes that have mutually exclusive outlier profiles.
Author: James W. MacDonald
Maintainer: James W. MacDonald <jmacdon at u.washington.edu>
Citation (from within R, enter
citation("copa")):
Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("copa")
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("copa")| copa Overview | R Script | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, OneChannel, Software, TwoChannel, Visualization |
| Version | 1.75.0 |
| In Bioconductor since | BioC 1.8 (R-2.3) (18.5 years) |
| License | Artistic-2.0 |
| Depends | Biobase, methods |
| Imports | |
| System Requirements | |
| URL |
See More
| Suggests | colonCA |
| Linking To | |
| Enhances | |
| Depends On Me | |
| 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 | copa_1.75.0.tar.gz |
| Windows Binary (x86_64) | copa_1.75.0.zip |
| macOS Binary (x86_64) | copa_1.75.0.tgz |
| macOS Binary (arm64) | copa_1.75.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/copa |
| Source Repository (Developer Access) | git clone [email protected]:packages/copa |
| Bioc Package Browser | https://code.bioconductor.org/browse/copa/ |
| Package Short Url | https://bioconductor.org/packages/copa/ |
| Package Downloads Report | Download Stats |