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This is the development version of PharmacoGx; for the stable release version, see PharmacoGx.

Analysis of Large-Scale Pharmacogenomic Data

Bioconductor version: Development (3.20)

Contains a set of functions to perform large-scale analysis of pharmaco-genomic data. These include the PharmacoSet object for storing the results of pharmacogenomic experiments, as well as a number of functions for computing common summaries of drug-dose response and correlating them with the molecular features in a cancer cell-line.

Author: Petr Smirnov [aut], Christopher Eeles [aut], Jermiah Joseph [aut], Zhaleh Safikhani [aut], Mark Freeman [aut], Feifei Li [aut], Benjamin Haibe-Kains [aut, cre]

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

Citation (from within R, enter citation("PharmacoGx")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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:

Creating a PharmacoSet Object HTML R Script
Detecting Drug Synergy and Antagonism with PharmacoGx 3.0+ HTML R Script
PharmacoGx: An R Package for Analysis of Large Pharmacogenomic Datasets HTML R Script
Reference Manual PDF


biocViews Classification, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software
Version 3.9.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License GPL (>= 3)
Depends R (>= 3.6), CoreGx
Imports BiocGenerics, Biobase, S4Vectors, SummarizedExperiment, MultiAssayExperiment, BiocParallel, ggplot2, RColorBrewer, magicaxis, parallel, caTools, methods, downloader, stats, utils, graphics, grDevices, reshape2, jsonlite, data.table, checkmate, boot, coop
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Suggests pander, rmarkdown, knitr, knitcitations, crayon, testthat, markdown, BiocStyle, R.utils
Linking To Rcpp
Depends On Me
Imports Me gDRimport, Xeva
Suggests Me ToxicoGx
Links To Me
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Follow Installation instructions to use this package in your R session.

Source Package PharmacoGx_3.9.0.tar.gz
Windows Binary
macOS Binary (x86_64) PharmacoGx_3.9.0.tgz
macOS Binary (arm64) PharmacoGx_3.9.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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