Synthetic observations from deep generative models and binary omics data with limited sample size
Jens Nußberger, Frederic Boesel, Stefan Lenz, Harald Binder, Moritz Hess
The paper evaluates generative models for binary omics data with small sample sizes, finding DBMs and VAEs perform better than GANs for recovering pairwise relationships.
Briefings in Bioinformatics · Aug 24, 2020Peer-reviewedBioinformatics