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Kai Kang

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Open access Sep 2026

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.

Kai Kang, Kai-Yu Xie · 0 citations

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