This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see PharmacoGx.
Bioconductor version: 3.9
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>
Citation (from within R,
enter citation("PharmacoGx")
):
To install this package, start R (version "3.6") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PharmacoGx")
R Script | Creating a PharmacoSet object | |
R Script | PharmacoGx: an R package for analysis of large pharmacogenomic datasets | |
Reference Manual | ||
Text | README |
biocViews | Classification, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software |
Version | 1.14.2 |
In Bioconductor since | BioC 3.4 (R-3.3) (3 years) |
License | Artistic-2.0 |
Depends | R (>= 3.6) |
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 | Xeva |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | PharmacoGx_1.14.2.tar.gz |
Windows Binary | PharmacoGx_1.14.2.zip |
Mac OS X 10.11 (El Capitan) | PharmacoGx_1.13.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PharmacoGx |
Source Repository (Developer Access) | git clone [email protected]:packages/PharmacoGx |
Package Short Url | https://bioconductor.org/packages/PharmacoGx/ |
Package Downloads Report | Download Stats |
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