Inference of causal interaction networks of gut microbiota using transfer entropy

Abstract Background Understanding the complex dynamics of gut microbiota interactions is essential for unraveling their influence on human health. However, inferring causality from microbiome time-series data is challenging due to noise, sparsity, and high dimensionality. Constructing causal interac...

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Auteurs principaux:	Chanho Park, Junil Kim, Julian Lee
Format:	Artigo
Langue:	Inglês
Publié:	BMC 2025-12-01
Collection:	BMC Genomics
Sujets:	Transfer entropy Microbiota Causal interaction network Microbiome Feedback loops
Accès en ligne:	https://doi.org/10.1186/s12864-025-12384-1
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