HIGHLIGHTS
- who: Cristiano Guttu00e0 et al. from the Institute of Cell Biology and Immunology, University of Stuttgart, Stuttgart, Germany, ProKanDo GmbH have published the research: Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer, in the Journal: (JOURNAL)
- what: To overcome this hurdle the authors propose a classifier based on a augmentation pipeline consisting of a Wasserstein generative adversarial network (GAN) with gradient penalty and an embedded auxiliary classifier to obtain a trained GAN discriminator (T-GAN-D). April 3, 2023 Using a trained GAN discriminator as a prognostic classifier problems, the . . .
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