MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of Missense <i>KCNQ2</i> Gene Variants

MLe-KCNQ2: An Artificial Intelligence Model for the Prognosis of Missense <i>KCNQ2</i> Gene Variants

Despite the increasing availability of genomic data and enhanced data analysis procedures, predicting the severity of associated diseases remains elusive in the absence of clinical descriptors. To address this challenge, we have focused on the K<sub>V</sub>7.2 voltage-gated potassium cha...

Full description

Bibliographic Details
Main Authors: Alba Saez-Matia, Markel G. Ibarluzea, Sara M-Alicante, Arantza Muguruza-Montero, Eider Nuñez, Rafael Ramis, Oscar R. Ballesteros, Diego Lasa-Goicuria, Carmen Fons, Mónica Gallego, Oscar Casis, Aritz Leonardo, Aitor Bergara, Alvaro Villarroel
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:International Journal of Molecular Sciences
Subjects:
epilepsy
neurodevelopmental disorder
KCNQ
prognosis
machine learning
Online Access:https://www.mdpi.com/1422-0067/25/5/2910

Internet

https://www.mdpi.com/1422-0067/25/5/2910

Similar Items