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

   

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see rcellminer.

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

Bioconductor version: 3.4

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 1.6.0
In Bioconductor since BioC 3.1 (R-3.2) (2 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.

Package Source rcellminer_1.6.0.tar.gz
Windows Binary rcellminer_1.6.0.zip
Mac OS X 10.9 (Mavericks) rcellminer_1.6.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/rcellminer/tree/release-3.4
Package Short Url http://bioconductor.org/packages/rcellminer/
Package Downloads Report Download Stats

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