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PharmacoGx

Analysis of Large-Scale Pharmacogenomic Data

Bioconductor version: 3.23 · Package version: 3.16.0

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.

Installation

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

BiocManager::install("PharmacoGx")

Details

MaintainerBenjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
AuthorPetr Smirnov [aut], Christopher Eeles [aut], Jermiah Joseph [aut], Zhaleh Safikhani [aut], Mark Freeman [aut], Feifei Li [aut], Benjamin Haibe-Kains [aut, cre]
LicenseGPL (>= 3)
Bug Reportshttps://github.com/bhklab/PharmacoGx/issues
Downloads rank716
Source branchRELEASE_3_23
biocViewsClassification, GeneExpression, Pharmacogenetics, Pharmacogenomics, Software

Documentation

Download

Dependencies

Depends: R (>= 4.1.0), 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

LinkingTo: Rcpp

Suggests: pander, rmarkdown, knitr, knitcitations, crayon, testthat, markdown, BiocStyle, R.utils

Reverse dependencies

Imports Me (2): gDRimport, Xeva

Suggests Me (1): ToxicoGx