This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see rcellminer.
Bioconductor version: 3.7
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>, Fathi Elloumi <fathi.elloumi at nih.gov>
Citation (from within R,
enter citation("rcellminer")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("rcellminer")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rcellminer")
HTML | R Script | Using rcellminer |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | CellBasedAssays, Cheminformatics, CopyNumberVariation, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software, SystemsBiology, Visualization, aCGH, miRNA |
Version | 2.2.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (3.5 years) |
License | LGPL-3 + file LICENSE |
Depends | R (>= 3.2), Biobase, rcdk, fingerprint, rcellminerData |
Imports | stringr, gplots, ggplot2, methods, stats, utils, shiny |
LinkingTo | |
Suggests | knitr, RColorBrewer, sqldf, BiocGenerics, testthat, BiocStyle, jsonlite, d3heatmap, glmnet, foreach, doSNOW, parallel |
SystemRequirements | |
Enhances | |
URL | http://discover.nci.nih.gov/cellminer/ |
Depends On Me | |
Imports Me | |
Suggests Me | rcellminerData |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | rcellminer_2.2.0.tar.gz |
Windows Binary | rcellminer_2.2.0.zip |
Mac OS X 10.11 (El Capitan) | rcellminer_2.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/rcellminer |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/rcellminer |
Package Short Url | http://bioconductor.org/packages/rcellminer/ |
Package Downloads Report | Download Stats |
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