This is the released version of omicRexposome; for the devel version, see omicRexposome.
Exposome and omic data associatin and integration analysisBioconductor version: Release (3.21)
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 isglobal.org>
Citation (from within R, entercitation("omicRexposome")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("omicRexposome")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("omicRexposome")
Details biocViews DifferentialExpression, DifferentialMethylation, Epigenetics, GeneExpression, GeneRegulation, ImmunoOncology, MultipleComparison, Proteomics, Regression, Software, StatisticalMethod, Transcriptomics, Visualization, WorkflowStep Version 1.30.0 In Bioconductor since BioC 3.6 (R-3.4) (7.5 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 System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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