xMarkerFinder

xMarkerFinder identifies and validates reproducible microbial biomarkers across cross-cohort microbiome datasets to support robust biomarker discovery and interpretation.

Key Features:

• Four-Stage Computational Framework: Implements differential signature identification, model construction, model validation, and biomarker interpretation as distinct analytical stages.
• Cross-Cohort Validation: Performs internal and external validations to assess biomarker reproducibility across different study populations.
• Sophisticated Feature Selection: Applies a feature selection process that explicitly addresses cohort heterogeneity to identify consistent biomarkers.
• Model Construction and Interpretation: Builds classification models and supports interpretation aimed at elucidating potential microbiome-induced mechanisms.
• Adaptable Design: Originating from gut microbiome research, the framework is applicable to various microbial habitats and data types.

Scientific Applications:

• Disease diagnostics and prognostics: Enables identification of microbial biomarkers that can inform diagnostic and prognostic investigations across cohorts.
• Biomarker reproducibility and mechanistic studies: Supports assessment of biomarker reproducibility and investigation of microbiome-related mechanisms in health and disease contexts.

Methodology:

Follows a four-stage computational pipeline of differential signature identification, feature selection addressing cohort heterogeneity, classification model construction, and model validation including internal and external cross-cohort validations, with execution time depending on sample size, selected algorithms, and computational resources.