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Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine learning toolbox

30 Mar 2021

Abstract excerpt

The human microbiome is increasingly mined for diagnostic and therapeutic biomarkers using machine learning (ML). However, metagenomics-specific software is scarce, and overoptimistic evaluation and limited cross-study generalization are prevailing issues. To address these, we developed SIAMCAT, a versatile R toolbox for ML-based comparative metagenomics. We demonstrate its capabilities in a meta-analysis of...

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PMID: 33785070
DOI: 10.1186/s13059-021-02306-1

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