Inferring cellular heterogeneity with mixture models for DNA methylation rates
This study proposes a cell deconvolution framework based on mixtures of non-negative Beta regression models that captures latent heterogeneity in DNA methylation profiles and significantly improves cell proportion estimation compared with standard deconvolution approaches.
Recommended citation: Hugo Barbot, Yuna Blum, Magali Richard, David Causeur. Inferring cellular heterogeneity with mixture models for DNA methylation rates 2026.
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