EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Event submissions
Published
with-doi10.3390/mol2net-07-11840
This submission belongs to the session 05. AI.MED-08: AI, Neuro Sciences, Med. Info., & Biomed. Eng. Congress, Coruña, Spain-Carleton, Canada-Stanford, USA, 2021 of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
23 Nov, 2021
Academic Editor
author-avatarHumbert G. Díaz
Citation
Diego Fernández-Edreira, Jose Liñares Blanco, Carlos Fernández Lozano, Machine Learning-based analysis of metagenomic profiles for the stratification of patients affected by type I Diabetes, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-11840
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Machine Learning-based analysis of metagenomic profiles for the stratification of patients affected by type I Diabetes

Diego Fernández-Edreira 1,2
Jose Liñares Blanco 1,2
image
Carlos Fernández Lozano 1,2
1. RNASA-IMEDIR
2. UDC
Abstract
Keywords
machine learning
metagenomics
diabetes
microbiota
NGS
Manuscript
DFE_ML.pdf