Crossmark

Synergic Integration of the miRNome, Machine Learning and Bioinformatics for the Identification of Potential Disease-Modifying Agents in Obstructive Sleep Apnea

Crossref DOI link: https://doi.org/10.1016/j.arbres.2024.11.011

Published Print: 2025-06

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Belmonte, Thalia

Benitez, Iván D.

García-Hidalgo, María C.

Molinero, Marta

Pinilla, Lucía

Mínguez, Olga

Vaca, Rafaela

Aguilà, Maria

Moncusí-Moix, Anna

Torres, Gerard

Mediano, Olga

Masa, Juan F.

Masdeu, Maria J.

Montero-San-Martín, Blanca

Ibarz, Mercè

Martinez-Camblor, Pablo

Gómez-Carballa, Alberto

Salas, Antonio

Martinón-Torres, Federico

Barbé, Ferran

Sánchez-de-la-Torre, Manuel

de Gonzalo-Calvo, David
Funding

Funding for this research was provided by:

Gobierno de España Ministerio de Ciencia e Innovación

Carlos III Health Institute
License Information

Text and Data Mining valid from 2025-06-01

Text and Data Mining valid from 2025-06-01

Version of Record valid from 2024-12-11
More Information

This article is maintained by: Elsevier

Article Title: Synergic Integration of the miRNome, Machine Learning and Bioinformatics for the Identification of Potential Disease-Modifying Agents in Obstructive Sleep Apnea

Journal Title: Archivos de Bronconeumología

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.arbres.2024.11.011

Content Type: article

Copyright: © 2024 The Authors. Published by Elsevier España, S.L.U. on behalf of SEPAR.

Document is current

Any future updates will be listed below