To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("copa")
In most cases, you don't need to download the package archive at all.
copa
|
Functions to perform cancer outlier profile analysis.
Bioconductor version: 3.2
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 and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("copa")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("copa")
| copa Overview | ||
| Reference Manual |
Details
| biocViews | DifferentialExpression, OneChannel, Software, TwoChannel, Visualization |
| Version | 1.38.0 |
| In Bioconductor since | BioC 1.8 (R-2.3) (10 years) |
| License | Artistic-2.0 |
| Depends | Biobase, methods |
| Imports | |
| LinkingTo | |
| Suggests | colonCA |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | copa_1.38.0.tar.gz |
| Windows Binary | copa_1.38.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | copa_1.38.0.tgz |
| Mac OS X 10.9 (Mavericks) | copa_1.38.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/copa/tree/release-3.2 |
| Package Short Url | http://bioconductor.org/packages/copa/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
- Package vignettes and manuals.
- Workflows for learning and use.
- Course and conference material.
- Videos.
- Community resources and tutorials.
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations:
- Support site - for questions about Bioconductor packages
- Bioc-devel mailing list - for package developers
