Article

DynaBiome: Interpretable Unsupervised Learning of Gut Microbiome Dysbiosis using Temporal Deep Models

2025-08-20

Abstract excerpt

<title>Abstract</title> <p>Purpose: Gut microbiome dysbiosis is a contributing factor to various diseases and a critical determinant for autologous fecal microbiota transplantation (Auto-FMT) eligibility assessment. Current dysbiosis classification approaches rely predominantly on supervised learning with manually annotated labels, single-time-point analysis, and black-box models lacking clinical interpretability...

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Literature Corpus work: 0aa02998-d4e5-5dcc-8698-443cfea3101f
DOI: 10.21203/rs.3.rs-7297461/v1

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