Machine learning analysis of naïve B-cell receptor repertoires stratifies celiac disease patients and controls
O. Shemesh, P. Polak, K. E. A. Lundin, L. M. Sollid, G. Yaari
The paper uses machine learning to analyze naive B-cell receptor repertoires to distinguish celiac disease patients from controls, achieving an F1 score of 85%.
bioRxiv · Nov 9, 2020Immunology