Article

Confounder-free Predictive Models for Microbiome-based Host Phenotype Prediction

2025-02-02

Abstract excerpt

As in many fields, the presence of confounding effects (or biases) presents a significant challenge in micro-biome research, including using microbiome data to predict host phenotypes. If not properly addressed, confounders can lead to spurious associations, biased predictions and misleading interpretations. One notable example is the medication metformin, which is commonly prescribed to treat type 2 diabetes (T2D...

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Literature Corpus work: 826cbaaf-0c28-50ba-9226-0e1425cf4f0a
DOI: 10.1101/2025.01.29.635502

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