When used as input for an ML-based prediction algorithm, these MC-derived signatures were able to successfully predict active versus inactive SLE patient samples and did so more effectively than signatures from CD19 B cells and CD4 T cells. Here, CD19 is linked to systemic lupus erythematosus.