Improved KCNQ2 gene missense variant interpretation with artificial intelligence
A. Saez-Matia, A. Muguruza-Montero, S. M-Alicante, E. Nunez, R. Ramis, O. R. Ballesteros, M. Garcia-Ibarlueza, C. Fons, A. Leonardo, A. Bergara, A. Villarroel
The paper develops a gene-specific machine learning model to improve the prediction of KCNQ2 missense variant pathogenicity with high sensitivity and specificity.
bioRxiv · Oct 20, 2022 · PreprintPathology