An active learning framework improves tumor variant interpretation
A. M. Blee, B. Li, T. Pecen, J. Meiler, Z. D. Nagel, J. A. Capra, W. J. Chazin
This study applies active learning to improve variant interpretation for tumor genomes, showing better performance than traditional methods in predicting variant effects on cancer treatment.
bioRxiv · Nov 8, 2021Cancer Biology