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Bioconductor - gDRimport (development version)

gDRimport

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

Package for handling the import of dose-response data

Bioconductor version: Development (3.22)

The package is a part of the gDR suite. It helps to prepare raw drug response data for downstream processing. It mainly contains helper functions for importing/loading/validating dose-response data provided in different file formats.

Author: Arkadiusz Gladki [aut, cre] ORCID: 0000-0002-7059-6378 , Bartosz Czech [aut] ORCID: 0000-0002-9908-3007 , Marc Hafner [aut] ORCID: 0000-0003-1337-7598 , Sergiu Mocanu [aut], Dariusz Scigocki [aut], Allison Vuong [aut], Luca Gerosa [aut] ORCID: 0000-0001-6805-9410 , Janina Smola [aut]

Maintainer: Arkadiusz Gladki <gladki.arkadiusz at gmail.com>

Citation (from within R, enter citation("gDRimport")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("gDRimport")

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("gDRimport")
Details biocViews DataImport, Infrastructure, Software Version 1.7.3 In Bioconductor since BioC 3.18 (R-4.3) (1.5 years) License Artistic-2.0 Depends R (>= 4.2) Imports assertthat, BumpyMatrix, checkmate, CoreGx, PharmacoGx, data.table, futile.logger, gDRutils(>= 1.7.1), magrittr, methods, MultiAssayExperiment, readxl, rio, S4Vectors, stats, stringi, SummarizedExperiment, tibble, tools, utils, XML, yaml, openxlsx System Requirements URL https://github.com/gdrplatform/gDRimport https://gdrplatform.github.io/gDRimport/ Bug Reports https://github.com/gdrplatform/gDRimport/issues See More Package Archives

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


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