Omics Data Preprocessing for Machine Learning: A Case Study in Childhood Obesity
The use of machine learning techniques for the construction of predictive models of disease outcomes (based on omics and other types of molecular data) has gained enormous relevance in the last few years in the biomedical field. Nonetheless, the virtuosity of omics studies and machine learning tools...
Main Authors: | Álvaro Torres-Martos, Mireia Bustos-Aibar, Alberto Ramírez-Mena, Sofía Cámara-Sánchez, Augusto Anguita-Ruiz, Rafael Alcalá, Concepción M. Aguilera, Jesús Alcalá-Fdez |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
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Series: | Genes |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4425/14/2/248 |
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