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To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rcellminerData")
In most cases, you don't need to download the package archive at all.
rcellminerData
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rcellminerData: Molecular Profiles and Drug Response for the NCI-60 Cell Lines
Bioconductor version: Release (3.5)
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("https://bioconductor.org/biocLite.R")
biocLite("rcellminerData")
Documentation
| HTML | R Script | Accessing CellMiner Data |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | CancerData, CopyNumberVariationData, ExperimentData, ExpressionData, MicroarrayData, NCI, SNPData, miRNAData |
| Version | 1.8.0 |
| 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_1.8.0.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/ |
| Package Downloads Report | Download Stats |
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