ASHG
This work introduces Generative Epigenomic Modeling (GEM), a model for generating biologically realistic synthetic cfDNA methylation data, addressing the need for scalable, high-fidelity datasets to support data augmentation, rare condition modeling, and the simulation of controlled signal-to-noise datasets, among other applications.
