daa-interpret

What problem does it solve?

Interpreting DAA outputs can be complex and time-consuming for researchers and analysts. This skill provides a structured workflow to translate differential abundance analysis results into clear, actionable insights, highlighting significant features, effect sizes, and confidence levels.

Core Features & Use Cases

• Interpret results from a DAA pipeline by loading a results TSV with standard columns (feature_id, coefficient, estimate, std_error, statistic, p_value, q_value, prevalence, mean_abundance, prevalence_tier, confidence).
• Identify the method used based on the result structure and present a concise interpretation of effect sizes in the appropriate scale for each method.
• Generate a report that lists top significant features, their direction, and quality checks for potential compositional artifacts, enabling downstream validation and communication.

Quick Start

Provide results TSV path or use a recent results file to generate an interpretation report immediately.