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rcellminerData

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


Bioconductor version: Release (3.18)

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 2.24.0
License LGPL-3 + file LICENSE
Depends R (>= 3.5.0), Biobase
Imports
System Requirements
URL
See More
Suggests knitr, testthat, BiocStyle, rcellminer, rmarkdown
Linking To
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Depends On Me rcellminer
Imports Me
Suggests Me
Links To Me
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Package Archives

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

Source Package rcellminerData_2.24.0.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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