ExpoRiskR

ExpoRiskR provides tools for exposure-aware multi-omics risk modeling in translational and environmental health studies.

Key Features:

• Sample Alignment: Aligns sample identifiers across exposure and multi-omics blocks.
• Preprocessing: Performs lightweight preprocessing of multi-omics data.
• Association Modeling: Fits exposure-adjusted association models to build interpretable microbe–metabolite networks.
• Exposure Perturbation Analysis: Computes simple exposure perturbation summaries.
• Visualization: Generates publication-ready visualizations.
• Input Flexibility: Workflows support both matrix-based inputs and SummarizedExperiment objects.

Scientific Applications:

• Translational Health Studies: Supports exposure-aware multi-omics risk modeling in translational health research.
• Environmental Health Studies: Supports exposure-aware multi-omics risk modeling in environmental health research.
• Microbe–Metabolite Network Inference: Builds interpretable microbe–metabolite networks through exposure-adjusted association modeling.

Methodology:

The package aligns sample identifiers across exposure and multi-omics blocks, performs lightweight preprocessing, and fits exposure-adjusted association models.