DOI: 10.18129/B9.bioc.omicRexposome  

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

Exposome and omic data associatin and integration analysis

Bioconductor version: 3.16

omicRexposome systematizes the association evaluation between exposures and omic data, taking advantage of MultiDataSet for coordinated data management, rexposome for exposome data definition and limma for association testing. Also to perform data integration mixing exposome and omic data using multi co-inherent analysis (omicade4) and multi-canonical correlation analysis (PMA).

Author: Carles Hernandez-Ferrer [aut, cre], Juan R. González [aut]

Maintainer: Xavier Escribà Montagut <xavier.escriba at>

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


To install this package, start R (version "4.2") 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:



HTML R Script Exposome Data Integration with Omic Data
PDF   Reference Manual


biocViews DifferentialExpression, DifferentialMethylation, Epigenetics, GeneExpression, GeneRegulation, ImmunoOncology, MultipleComparison, Proteomics, Regression, Software, StatisticalMethod, Transcriptomics, Visualization, WorkflowStep
Version 1.20.0
In Bioconductor since BioC 3.6 (R-3.4) (5.5 years)
License MIT + file LICENSE
Depends R (>= 3.5.0), Biobase
Imports stats, utils, grDevices, graphics, methods, rexposome, limma, sva, ggplot2, ggrepel, PMA, omicade4, gridExtra, MultiDataSet, SmartSVA, isva, parallel, SummarizedExperiment, stringr
Suggests BiocStyle, knitr, rmarkdown, snpStats, brgedata
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package omicRexposome_1.20.0.tar.gz
Windows Binary
macOS Binary (x86_64) omicRexposome_1.20.0.tgz
macOS Binary (arm64) omicRexposome_1.20.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: