Prediction of Influence Transmission by Water Temperature of Fish Intramuscular Metabolites and Intestinal Microbiota Factor Cascade Using Bayesian Networks

Prediction of Influence Transmission by Water Temperature of Fish Intramuscular Metabolites and Intestinal Microbiota Factor Cascade Using Bayesian Networks

Aquaculture is receiving attention as one of the solutions to the global food problem. Therefore, it is essential to clarify the impact of fish and their environment on the stable supply and uniformity of the quality of fish provided as meat. Nuclear magnetic resonance can comprehensively acquire me...

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Bibliographic Details
Main Authors: Hideaki Shima, Kenji Sakata, Jun Kikuchi
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
association analysis
Bayesian network
fish microbiome
machine learning
metabolic profiling
public database
Online Access:https://www.mdpi.com/2076-3417/13/5/3198

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