To address the curse of dimensionality we use a classifier (XGBoost [29]) that distinguishes single CD8+ T cells in healthy donors from those in COVID-19 patients and we choose the top r (taken to be 3) features (proteins) that are deemed important by the classifier while classifying the data points (cells). Here, CD8A is linked to COVID-19.