ExpoRiskR
Exposure-Aware Multi-Omics Risk Modeling
Bioconductor version: 3.24 · Package version: 1.1.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
ExpoRiskR provides tools for exposure-aware multi-omics risk modeling in translational and environmental health studies. The package aligns sample identifiers across exposure and multi-omics blocks, performs lightweight preprocessing, and fits exposure-adjusted association models to build interpretable microbe–metabolite networks. It also computes simple exposure perturbation summaries and generates publication-ready visualizations. Workflows support both matrix-based inputs and SummarizedExperiment objects.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ExpoRiskR")Details
| Maintainer | Prem Prashant Chaudhary <chaudharyp2@nih.gov> |
| Author | Prem Prashant Chaudhary [aut, cre] (ORCID: <https://orcid.org/0000-0002-3467-8608>) |
| License | MIT + file LICENSE |
| URL | https://github.com/ppchaudhary/ExpoRiskR |
| Bug Reports | https://github.com/ppchaudhary/ExpoRiskR/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Metabolomics, Microbiome, Network, Regression, Software, SystemsBiology |
| Package Short Url | https://bioconductor.org/packages/ExpoRiskR/ |
Citation
From within R, enter citation("ExpoRiskR"):
Prem Prashant Chaudhary. ExpoRiskR: Exposure-Aware Multi-Omics Risk Modeling. doi:10.18129/B9.bioc.ExpoRiskR, R package version 1.1.0, https://bioconductor.org/packages/ExpoRiskR.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | ExpoRiskR_1.1.0.tar.gz |
| Windows binary (x86_64) | ExpoRiskR_1.1.0.zip |
| macOS binary (arm64) | ExpoRiskR_1.1.0.tgz |
| macOS binary (x86_64) | ExpoRiskR_1.1.0.tgz |
Dependencies
Imports: stats, ggplot2, igraph, SummarizedExperiment, S4Vectors, utils
Suggests: BiocStyle, BiocCheck, knitr, rmarkdown, withr, testthat (>= 3.0.0)