Altered somatic hypermutation patterns in COVID-19 patients classifies disease severity
M. Safra, Z. Tamari, P. Polak, S. Shiber, M. Matan, H. Karameh, Y. Helviz, A. Levy-Barda, V. Yahalom, A. Peretz, E. Ben-Chetrit, B. Brenner, T. Tuller, M. Gal-Tanamy, G. Yaari
This study uses machine learning to analyze B cell receptor sequencing data and identifies altered somatic hypermutation patterns in COVID-19 patients that correlate with disease severity.
bioRxiv · Dec 20, 2022 · PreprintImmunology