rcellminer
rcellminer: Molecular Profiles, Drug Response, and Chemical Structures for the NCI-60 Cell Lines
Bioconductor version: 3.23 · Package version: 2.34.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("rcellminer") Details
| Maintainer | Augustin Luna <augustin.luna@nih.gov>, Vinodh Rajapakse <vinodh.rajapakse@nih.gov>, Fathi Elloumi <fathi.elloumi@nih.gov> |
| Author | Augustin Luna, Vinodh Rajapakse, Fabricio Sousa |
| License | LGPL-3 + file LICENSE |
| URL | http://discover.nci.nih.gov/cellminer/ |
| Downloads rank | 627 |
| Source branch | RELEASE_3_23 |
| biocViews | CellBasedAssays, Cheminformatics, CopyNumberVariation, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software, SystemsBiology, Visualization, aCGH, miRNA |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | rcellminer_2.34.0.tar.gz |
| Windows binary (x86_64) | rcellminer_2.34.0.zip |
| macOS binary (arm64) | rcellminer_2.34.0.tgz |
| macOS binary (x86_64) | rcellminer_2.34.0.tgz |
Dependencies
Depends: R (>= 3.2), Biobase, rcellminerData (>= 2.0.0)
Imports: stringr, gplots, ggplot2, methods, stats, utils, shiny
Suggests: knitr, RColorBrewer, sqldf, BiocGenerics, testthat, BiocStyle, jsonlite, heatmaply, glmnet, foreach, doSNOW, parallel, rmarkdown
Reverse dependencies
Suggests Me (1): rcellminerData