omicRexposome

DOI: 10.18129/B9.bioc.omicRexposome    

Exposome and omic data associatin and integration analysis

Bioconductor version: Release (3.6)

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: Carles Hernandez-Ferrer <carles.hernandez at isglobal.org>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("omicRexposome")

Documentation

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

Details

biocViews	DifferentialExpression, DifferentialMethylation, Epigenetics, GeneExpression, GeneRegulation, MultipleComparison, Proteomics, Regression, Software, StatisticalMethod, Transcriptomics, Visualization, WorkflowStep
Version	1.0.1
License	MIT + file LICENSE
Depends	R (>= 3.4), Biobase
Imports	stats, utils, grDevices, graphics, methods, rexposome, limma, sva, ggplot2, ggrepel, PMA, omicade4, gridExtra, MultiDataSet, SmartSVA, isva, parallel, SummarizedExperiment, stringr
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown, snpStats, brgedata
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Package Archives

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

Source Package	omicRexposome_1.0.1.tar.gz
Windows Binary	omicRexposome_1.0.1.zip
Mac OS X 10.11 (El Capitan)	omicRexposome_1.0.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/omicRexposome
Package Short Url	http://bioconductor.org/packages/omicRexposome/
Package Downloads Report	Download Stats