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

2020-02-06

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 fecal...

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Literature Corpus work
fc674405-aa05-596d-92d6-f9fb31f30d27
DOI
10.1101/2020.02.06.931808
Open publication

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Microbiome meta-analysis and cross-disease comparison enabled by the SIAMCAT machine-learning toolboxDOI 10.1101/2020.02.06.931808
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