Predictive genetic panel for adult asthma using machine learning methods

Predictive genetic panel for adult asthma using machine learning methods

Background: Asthma is a chronic inflammatory disease of the airways that is heterogeneous and multifactorial, making its accurate characterization a complex process. Therefore, identifying the genetic variations associated with asthma and discovering the molecular interactions between the omics that...

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Bibliographic Details
Main Authors: Luciano Gama da Silva Gomes, PhD, Álvaro Augusto Souza da Cruz, MD, PhD, Maria Borges Rabêlo de Santana, PhD, Gabriela Pimentel Pinheiro, PhD, Cinthia Vila Nova Santana, PhD, Carolina Barbosa Souza Santos, PhD, Meher Preethi Boorgula, MS, Monica Campbell, MS, Adelmir de Souza Machado, MD, PhD, Rafael Valente Veiga, PhD, Kathleen C. Barnes, PhD, Ryan dos Santos Costa, PhD, Camila Alexandrina Figueiredo, PhD
Format: Article
Language:English
Published: Elsevier 2024-08-01
Series:Journal of Allergy and Clinical Immunology: Global
Subjects:
Asthma
genetics
machine learning
single-nucleotide variants
prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S277282932400078X

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http://www.sciencedirect.com/science/article/pii/S277282932400078X

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