tidyexposomics

tidyexposomics facilitates the integration of exposure and omics data to identify exposure-omics associations.

Key Features:

• Quality Control: Provides functionality to perform quality control on exposure and omics data.
• Sample and Exposure Association Analysis: Performs association analysis between samples and exposures.
• Differential Abundance Analysis: Conducts differential abundance analysis on omics data.
• Multi-Omics Integration: Integrates multiple omics data types with exposure data.
• Functional Enrichment Analysis: Performs functional enrichment analysis on integrated results.
• Tidyverse Framework Integration: Structures commands to fit into the tidyverse framework.

Scientific Applications:

• Exposure-Omics Association Studies: Identifies associations between environmental exposures and molecular omics profiles.
• Multi-Omics Data Integration: Combines multiple omics data types with exposure measurements for comprehensive analysis.

Methodology:

The package structures commands within the tidyverse framework.