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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("rcellminer")
In most cases, you don't need to download the package archive at all.
rcellminer
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rcellminer: Molecular Profiles and Drug Response for the NCI-60 Cell Lines
Bioconductor version: Release (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 |
| 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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