Identification of Prevotella, Anaerotruncus and Eubacterium Genera by Machine Learning Analysis of Metagenomic Profiles for Stratification of Patients Affected by Type I Diabetes

Identification of Prevotella, Anaerotruncus and Eubacterium Genera by Machine Learning Analysis of Metagenomic Profiles for Stratification of Patients Affected by Type I Diabetes

Previous works have reported different bacterial strains and genera as the cause of different clinical pathological conditions. In our approach, using the fecal metagenomic profiles of newborns, a machine learning-based model was generated capable of discerning between patients affected by type I di...

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Bibliographic Details
Main Authors: Diego Fernández-Edreira, Jose Liñares-Blanco, Carlos Fernandez-Lozano
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Proceedings
Subjects:
diabetes
machine learning
microbiome
metagenomics
data science
Online Access:https://www.mdpi.com/2504-3900/54/1/50

Internet

https://www.mdpi.com/2504-3900/54/1/50

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