To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("rcellminerData")

In most cases, you don't need to download the package archive at all.

rcellminerData

DOI: 10.18129/B9.bioc.rcellminerData    

This is the development version of rcellminerData; for the stable release version, see rcellminerData.

rcellminerData: Molecular Profiles and Drug Response for the NCI-60 Cell Lines

Bioconductor version: Development (3.6)

The NCI-60 cancer cell line panel has been used over the course of several decades as an anti-cancer drug screen. This panel was developed as part of the Developmental Therapeutics Program (DTP, http://dtp.nci.nih.gov/) of the U.S. National Cancer Institute (NCI). Thousands of compounds have been tested on the NCI-60, which have been extensively characterized by many platforms for gene and protein expression, copy number, mutation, and others (Reinhold, et al., 2012). The purpose of the CellMiner project (http://discover.nci.nih.gov/cellminer) has been to integrate data from multiple platforms used to analyze the NCI-60 and to provide a powerful suite of tools for exploration of NCI-60 data.

Author: Augustin Luna, Vinodh Rajapakse, Fabricio Sousa

Maintainer: Augustin Luna <lunaa at cbio.mskcc.org>, Vinodh Rajapakse <vinodh.rajapakse at nih.gov>

Citation (from within R, enter citation("rcellminerData")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("rcellminerData")

Documentation

HTML R Script Accessing CellMiner Data
PDF   Reference Manual
Text   NEWS

Details

biocViews CancerData, CopyNumberVariationData, ExperimentData, ExpressionData, MicroarrayData, NCI, SNPData, miRNAData
Version 1.9.0
License LGPL-3
Depends R (>= 3.1.1), Biobase
Imports
LinkingTo
Suggests knitr, testthat, BiocStyle, rcellminer
SystemRequirements
Enhances
URL
Depends On Me rcellminer
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package rcellminerData_1.9.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/rcellminerData
Package Short Url http://bioconductor.org/packages/rcellminerData/
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