To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ccdata")
In most cases, you don't need to download the package archive at all.
ccdata
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Data for Combination Connectivity Mapping (ccmap) Package
Bioconductor version: Release (3.5)
This package contains microarray gene expression data generated from the Connectivity Map build 02 and LINCS l1000. The data are used by the ccmap package to find drugs and drug combinations to mimic or reverse a gene expression signature.
Author: Alex Pickering
Maintainer: Alex Pickering <alexvpickering at gmail.com>
Citation (from within R,
enter citation("ccdata")):
Installation
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("ccdata")
Documentation
| Reference Manual | ||
| Text | LICENSE |
Details
| biocViews | ExperimentData, ExpressionData, MicroarrayData |
| Version | 1.2.0 |
| License | MIT + file LICENSE |
| Depends | R (>= 3.3) |
| Imports | |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | ccmap |
| Suggests Me | crossmeta |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | ccdata_1.2.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.11 (El Capitan) | |
| Source Repository | git clone https://git.bioconductor.org/packages/ccdata |
| Package Short Url | http://bioconductor.org/packages/ccdata/ |
| Package Downloads Report | Download Stats |
Documentation »
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