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rcellminerData

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

Bioconductor version: Release (3.17)

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")):

Installation

To install this package, start R (version "4.3") 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.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("rcellminerData")
Accessing CellMiner Data HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews CancerData, CopyNumberVariationData, ExperimentData, ExpressionData, MicroarrayData, NCI, SNPData, miRNAData
Version 2.22.0
License LGPL-3 + file LICENSE
Depends R (>= 3.5.0), Biobase
Imports
Linking To
Suggests knitr, testthat, BiocStyle, rcellminer, rmarkdown
System Requirements
Enhances
URL
See More
Depends On Me rcellminer
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package rcellminerData_2.22.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
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/
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