Individual-level expression deconvolution and assessment of cross-sample variation
A reference-informed Bayesian deconvolution framework and a score that identifies gene–cell-type pairs likely to have more accurate estimates of cross-sample variation are described and shown that observable information can help prioritize pairs with more accurately recovered cross-sample variation.