EpiMetal

EpiMetal performs integrated statistical analyses and data-driven metabolic profiling for epidemiology and metabolomics research.

Key Features:

• Standard epidemiological analyses: Supports standard epidemiological statistical analyses for cohort-level studies.
• Self-organizing maps: Uses self-organizing maps for data-driven metabolic profiling.
• Flexible data integration: Handles multiple large datasets containing arbitrary numbers of continuous and categorical variables.
• Statistical analysis and visualization: Integrates statistical analysis and visualization capabilities for exploration of high-dimensional molecular data.

Scientific Applications:

• Metabolomic profiling: Applied to datasets with over 500 quantitative molecular measures per sample for metabolic phenotyping.
• Epidemiological cohort analysis: Demonstrated in large-scale epidemiological cohorts with more than 10,000 participants for population-level analyses.

Methodology:

Implements standard epidemiological statistical analyses, self-organizing maps for data-driven metabolic profiling, and integrated statistical analysis and visualization.