Incorporating metabolic activity, taxonomy and community structure to improve microbiome-based predictive models for host phenotype prediction

Incorporating metabolic activity, taxonomy and community structure to improve microbiome-based predictive models for host phenotype prediction

ABSTRACTWe developed MicroKPNN, a prior-knowledge guided interpretable neural network for microbiome-based human host phenotype prediction. The prior knowledge used in MicroKPNN includes the metabolic activities of different bacterial species, phylogenetic relationships, and bacterial community stru...

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Bibliographic Details
Main Authors: Mahsa Monshizadeh, Yuzhen Ye
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Gut Microbes
Subjects:
Gut microbiome
human disease
interpretable neural network
prior-knowledge primed
metabolic activity
taxonomy
Online Access:https://www.tandfonline.com/doi/10.1080/19490976.2024.2302076

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https://www.tandfonline.com/doi/10.1080/19490976.2024.2302076

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