Produção Nacional
Revisado por pares
Predictive genetic panel for adult asthma using machine learning methods
2024; Elsevier BV; Volume: 3; Issue: 3 Linguagem: Inglês
10.1016/j.jacig.2024.100282
ISSN2772-8293
AutoresLuciano Gama da Silva Gomes, Álvaro Augusto Souza da Cruz, Maria Borges Rabêlo de Santana, Gabriela Pimentel Pinheiro, Cinthia Vila Nova Santana, Carolina Barbosa Souza Santos, Meher Preethi Boorgula, Monica Campbell, Adelmir de Souza Machado, Rafael Veiga, Kathleen C Barnes, Ryan dos Santos Costa, Camila Alexandrina Figueiredo,
Tópico(s)Asthma and respiratory diseases
ResumoAsthma 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 confer risk of developing this disease will help us to unravel the biological pathways involved in its pathogenesis.
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