omicRexposome

DOI:10.18129/B9.bioc.omicRexposome

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, seeomicRexposome.

Exposome and omic data associatin and integration analysis

Bioconductor version: 3.10

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

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("omicRexposome")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("omicRexposome")

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

Details

biocViews	DifferentialExpression,DifferentialMethylation,Epigenetics,GeneExpression,GeneRegulation,ImmunoOncology,MultipleComparison,Proteomics,Regression,Software,StatisticalMethod,Transcriptomics,Visualization,WorkflowStep
Version	1.8.0
In Bioconductor since	BioC 3.6 (R-3.4) (2.5 years)
License	MIT + fileLICENSE
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
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URL
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Build Report

Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Source Package	omicRexposome_1.8.0.tar.gz
Windows Binary	omicRexposome_1.8.0.zip
Mac OS X 10.11 (El Capitan)	omicRexposome_1.8.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/omicRexposome
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/omicRexposome
Package Short Url	//www.andersvercelli.com/packages/omicRexposome/
Package Downloads Report	Download Stats