To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rcellminer")

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

rcellminer

DOI: 10.18129/B9.bioc.rcellminer    

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

rcellminer: 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("rcellminer")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rcellminer")

Documentation

HTML R Script Using rcellminer
PDF   Reference Manual
Text   NEWS

Details

biocViews CellBasedAssays, Cheminformatics, CopyNumberVariation, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software, SystemsBiology, Visualization, aCGH, miRNA
Version 1.9.1
In Bioconductor since BioC 3.1 (R-3.2) (2.5 years)
License LGPL-3
Depends R (>= 3.2), Biobase, rcdk, fingerprint, rcellminerData
Imports stringr, gplots, methods, shiny
LinkingTo
Suggests knitr, RColorBrewer, sqldf, BiocGenerics, testthat, BiocStyle, jsonlite
SystemRequirements
Enhances
URL http://discover.nci.nih.gov/cellminer/
Depends On Me
Imports Me
Suggests Me rcellminerData
Build Report  

Package Archives

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

Source Package rcellminer_1.9.1.tar.gz
Windows Binary rcellminer_1.9.1.zip
Mac OS X 10.11 (El Capitan) rcellminer_1.9.1.tgz
Source Repository git clone https://git.bioconductor.org/packages/rcellminer
Package Short Url http://bioconductor.org/packages/rcellminer/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: