Hidden Knowledge Recovery from GAN-generated Single-cell RNA-seq Data
Najeebullah Shah,
Fanhong Li,
Xuegong Zhang
Abstract:BackgroundMachine learning methods have recently been shown powerful in discovering knowledge from scientific data, offering promising prospects for discovery learning. In the meanwhile, Deep Generative Models like Generative Adversarial Networks (GANs) have excelled in generating synthetic data close to real data. GANs have been extensively employed, primarily motivated by generating synthetic data for privacy preservation, data augmentation, etc. However, certain dimensions of GANs have received limited expl… Show more
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