Amanida

Amanida performs meta-analysis of metabolomics studies by integrating P-values and fold-change data across multiple datasets.

Key Features:

• P-Value Integration: Combines P-values from multiple metabolomics studies using Fisher's method to assess overall statistical significance.
• Fold-Change Aggregation: Calculates weighted averages of fold-changes across studies with weighting based on study sample size (n).
• Volcano Plot Visualization: Generates volcano plots to visualize metabolites based on combined P-values and fold-change values.
• Vote Plot Analysis: Displays the overall regulation direction (upregulation or downregulation) of metabolites across studies.
• Explore Plot Visualization: Illustrates vote-counting results showing the frequency of metabolite upregulation or downregulation among studies.

Scientific Applications:

• Metabolomics Meta-Analysis: Integrates results from multiple metabolomics experiments to identify consistent metabolite changes.
• Biomarker Identification: Supports detection of metabolites consistently associated with specific biological conditions across studies.
• Cross-Study Comparative Analysis: Evaluates concordance and variability in metabolite regulation across independent metabolomics datasets.

Methodology:

Amanida combines study-level P-values using Fisher's method and computes weighted averages of fold-changes based on study sample size to perform meta-analysis of metabolomics datasets.