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Generative Adversarial Networks for Omics Data: An Overview and Future Directions for Livestock Applications
Generative adversarial networks (GANs) are artificial intelligence models designed to generate novel data that is indistinguishable from real data. Originally developed to generate images to complement existing datasets and create more diverse samples, GAN-based data can enhance downstream analysis
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