Generating realistic artificial Human genomes using adversarial autoencoders
Callum Burnard, Alban Mancheron, William Ritchie
The paper develops a method to generate realistic artificial human genomes using adversarial autoencoders, preserving diversity and anonymity while reducing computational demands.
NAR Genomics and Bioinformatics · Jul 4, 2025Peer-reviewedBioinformatics