DOI: 10.18129/B9.bioc.ToxicoGx  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see ToxicoGx.

Analysis of Large-Scale Toxico-Genomic Data

Bioconductor version: 3.16

Contains a set of functions to perform large-scale analysis of toxicogenomic data, providing a standardized data structure to hold information relevant to annotation, visualization and statistical analysis of toxicogenomic data.

Author: Sisira Nair [aut], Esther Yoo [aut], Christopher Eeles [aut], Amy Tang [aut], Nehme El-Hachem [aut], Petr Smirnov [aut], Benjamin Haibe-Kains [aut, cre]

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

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


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HTML R Script ToxicoGx: An R Platform for Integrated Toxicogenomics Data Analysis
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biocViews GeneExpression, Pharmacogenetics, Pharmacogenomics, Software
Version 2.2.0
In Bioconductor since BioC 3.12 (R-4.0) (2.5 years)
License MIT + file LICENSE
Depends R (>= 4.1), CoreGx
Imports SummarizedExperiment, BiocGenerics, S4Vectors, Biobase, BiocParallel, ggplot2, tibble, dplyr, caTools, downloader, magrittr, methods, reshape2, tidyr, data.table, assertthat, scales, graphics, grDevices, parallel, stats, utils, limma, jsonlite
Suggests rmarkdown, testthat, BiocStyle, knitr, tinytex, devtools, PharmacoGx, xtable, markdown
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