PharmacoGx

DOI: 10.18129/B9.bioc.PharmacoGx    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see PharmacoGx.

Analysis of Large-Scale Pharmacogenomic Data

Bioconductor version: 3.8

Contains a set of functions to perform large-scale analysis of pharmacogenomic data.

Author: Petr Smirnov, Zhaleh Safikhani, Mark Freeman, Benjamin Haibe-Kains

Maintainer: Benjamin Haibe-Kains <benjamin.haibe.kains at utoronto.ca>

Installation

To install this package, start R (version "3.5") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("PharmacoGx")

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("PharmacoGx")

 

PDF	R Script	Creating a PharmacoSet object
PDF	R Script	PharmacoGx: an R package for analysis of large pharmacogenomic datasets
PDF		Reference Manual
Text		README

Details

biocViews	Classification, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software
Version	1.12.0
In Bioconductor since	BioC 3.4 (R-3.3) (2.5 years)
License	Artistic-2.0
Depends	R (>= 3.4)
Imports	Biobase, piano, magicaxis, RColorBrewer, parallel, caTools, methods, downloader, stats, utils, graphics, grDevices, lsa, reshape2
LinkingTo
Suggests	xtable, testthat
SystemRequirements
Enhances
URL
BugReports	https://github.com/bhklab/PharmacoGx/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	PharmacoGx_1.12.0.tar.gz
Windows Binary	PharmacoGx_1.12.0.zip
Mac OS X 10.11 (El Capitan)	PharmacoGx_1.12.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/PharmacoGx
Source Repository (Developer Access)	git clone [email protected]:packages/PharmacoGx
Package Short Url	http://bioconductor.org/packages/PharmacoGx/
Package Downloads Report	Download Stats