PhyloPars

PhyloPars estimates metabolic parameters across phylogenetically related species by integrating incomplete empirical observations with species phylogenies to produce parameter values and associated uncertainty measures.

Key Features:

• Phylogeny-Based Estimation: A statistically consistent method integrates an incomplete set of empirical observations with species phylogenies to estimate metabolic parameters for all species in a phylogenetic tree.
• Handling Missing Data: An extended evolutionary model explicitly accounts for and imputes missing trait values in incomplete feature matrices.
• Cross-Validation: Real-time cross-validation assesses the accuracy and potential bias of estimated parameter values.
• Uncertainty Quantification: Provides measures of certainty for estimated metabolic parameters.

Scientific Applications:

• Systems Biology: Inferring metabolic parameters for comparative modeling and metabolic network analyses across species.
• Ecology: Estimating species-level metabolic traits to inform ecological trait-based studies.
• Evolutionary Studies: Using phylogenetically informed parameter estimates to study trait evolution.
• Comparative Physiology: Filling missing physiological parameter values across related species for comparative analyses.
• Ecological Modeling: Supplying imputed metabolic parameters for use in ecological and ecosystem models.

Methodology:

Combines incomplete empirical observations with species phylogenies using a statistically consistent evolutionary model extended to handle missing data and uses cross-validation to evaluate estimate accuracy.