rcellminerData

This is the released version of rcellminerData; for the devel version, see rcellminerData.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1

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

Bioconductor version: Release (3.23)

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")):

Augustin Luna, Vinodh Rajapakse, Fabricio Sousa. rcellminerData: rcellminerData: Molecular Profiles and Drug Response for the NCI-60 Cell Lines. doi:10.18129/B9.bioc.rcellminerData, R package version 2.34.0, https://bioconductor.org/packages/rcellminerData.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	CancerData, CopyNumberVariationData, ExperimentData, ExpressionData, MicroarrayData, NCI, SNPData, miRNAData
Version	2.34.0
In Bioconductor since	BioC 3.1 (R-3.2) (11.5 years)
License	LGPL-3 + file LICENSE
Depends	R (>= 3.5.0), Biobase
Imports
System Requirements
URL

Suggests	knitr, testthat, BiocStyle, rcellminer, rmarkdown
Linking To
Enhances
Depends On Me	rcellminer
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	rcellminerData_2.34.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-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/
Package Downloads Report	Download Stats