Article

Hidden Knowledge Recovery from GAN-generated Single-cell RNA-seq Data

2023-11-27

Abstract excerpt

<h4>Background</h4> Machine 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...

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Literature Corpus work: 67dd81d6-bf6a-5a6e-b4b5-aa3f4e7206cb
DOI: 10.1101/2023.11.27.568840

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