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omicRexposome

Exposome and omic data associatin and integration analysis

Bioconductor version: 3.23 · Package version: 1.34.0

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).

Installation

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

BiocManager::install("omicRexposome")

Details

MaintainerXavier EscribĂ  Montagut <xavier.escriba@isglobal.org>
AuthorCarles Hernandez-Ferrer [aut, cre], Juan R. González [aut]
LicenseMIT + file LICENSE
Downloads rank545
Source branchRELEASE_3_23
biocViewsDifferentialExpression, DifferentialMethylation, Epigenetics, GeneExpression, GeneRegulation, ImmunoOncology, MultipleComparison, Proteomics, Regression, Software, StatisticalMethod, Transcriptomics, Visualization, WorkflowStep

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageomicRexposome_1.34.0.tar.gz
Windows binary (x86_64)omicRexposome_1.34.0.zip
macOS binary (arm64)omicRexposome_1.34.0.tgz
macOS binary (x86_64)omicRexposome_1.34.0.tgz
Dependencies

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