This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see rcellminerData.
Bioconductor version: 3.15
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("rcellminerData")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("rcellminerData")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rcellminerData")
HTML | R Script | Accessing CellMiner Data |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | CancerData, CopyNumberVariationData, ExperimentData, ExpressionData, MicroarrayData, NCI, SNPData, miRNAData |
Version | 2.18.0 |
License | LGPL-3 + file LICENSE |
Depends | R (>= 3.5.0), Biobase |
Imports | |
LinkingTo | |
Suggests | knitr, testthat, BiocStyle, rcellminer, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | rcellminer |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | rcellminerData_2.18.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
Source Repository | git clone https://git.bioconductor.org/packages/rcellminerData |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/rcellminerData |
Package Short Url | https://bioconductor.org/packages/rcellminerData/ |
Package Downloads Report | Download Stats |
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