A Random Forest Classifier Uses Antibody Responses to Plasmodium Antigens to Reveal Candidate Biomarkers of the Intensity and Timing of Past Exposure to Plasmodium falciparum
S. Berube, T. Kobayashi, D. E. Norris, I. Ruczinski, W. J. Moss, A. Wesolowski, T. A. Louis
The paper uses random forest models trained on antibody responses to Plasmodium antigens to classify adult samples by historical malaria transmission regions with high accuracy.
bioRxiv · Feb 16, 2022 · PreprintImmunology