Article

Self-supervised learning enables robust microbiome predictions in data-limited and cross-cohort settings

2025-10-20

Abstract excerpt

The gut microbiome plays a crucial role in human health, but machine learning applications in this field face significant challenges, including limited labeled data availability, high dimensionality, and batch effects across different cohorts. To address these limitations, we developed representation learning models for gut microbiome metagenomic data, drawing inspiration from foundation models approaches based on...

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Literature Corpus work: fe004d5f-f5d2-52df-9c9d-aaac4d194f12
DOI: 10.1101/2025.10.19.683269

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