rcellminerData
rcellminerData: Molecular Profiles and Drug Response for the NCI-60 Cell Lines
Bioconductor version: Release (3.20)
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("rcellminerData")
):
Installation
To install this package, start R (version "4.4") 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 | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | CancerData, CopyNumberVariationData, ExperimentData, ExpressionData, MicroarrayData, NCI, SNPData, miRNAData |
Version | 2.28.0 |
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 | |
Enhances | |
Depends On Me | rcellminer |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | rcellminerData_2.28.0.tar.gz |
Windows Binary (x86_64) | |
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/ |
Package Downloads Report | Download Stats |