Fine-tuning sequence to function deep learning models on large-scale proteomic data improves the accuracy of variant effect prediction
Eduarda Vaz, Lena Wang, Jake Galvin…·Alexis J. Battle
The paper fine-tunes a sequence-to-function model on large proteomic data to improve variant effect prediction, showing better performance with larger sample sizes and rare variants.