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

DOI: 10.18129/B9.bioc.ccdata

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

PDF 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

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