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Processing functions and interface to process and analyze drug dose-response data

Bioconductor version: Release (3.19)

This package contains core functions to process and analyze drug response data. The package provides tools for normalizing, averaging, and calculation of gDR metrics data. All core functions are wrapped into the pipeline function allowing analyzing the data in a straightforward way.

Author: Bartosz Czech [aut] , Arkadiusz Gladki [cre, aut] , Marc Hafner [aut] , Pawel Piatkowski [aut], Natalia Potocka [aut], Dariusz Scigocki [aut], Janina Smola [aut], Sergiu Mocanu [aut], Marcin Kamianowski [aut], Allison Vuong [aut]

Maintainer: Arkadiusz Gladki <gladki.arkadiusz at>

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


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

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


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:

gDRcore HTML R Script
gDRcore HTML R Script
Vignette Title HTML R Script
Reference Manual PDF


biocViews ShinyApps, Software
Version 1.2.0
In Bioconductor since BioC 3.18 (R-4.3) (0.5 years)
License Artistic-2.0
Depends R (>= 4.2)
Imports BumpyMatrix, BiocParallel, checkmate, futile.logger, gDRutils(>= 1.1.3), MultiAssayExperiment, purrr, stringr, S4Vectors, SummarizedExperiment, data.table
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Suggests BiocStyle, gDRstyle(>= 1.1.2), gDRimport(>= 1.1.4), gDRtestData(>= 1.1.6), IRanges, knitr, pkgbuild, qs, testthat, yaml
Linking To
Depends On Me gDR
Imports Me
Suggests Me
Links To Me
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Package Archives

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

Source Package gDRcore_1.2.0.tar.gz
Windows Binary (64-bit only)
macOS Binary (x86_64) gDRcore_1.2.0.tgz
macOS Binary (arm64) gDRcore_1.2.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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