Recent Advances in Generative Adversarial Networks for Gene Expression Data: A Comprehensive Review
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- Minhyeok Lee, 2023. "The Geometry of Feature Space in Deep Learning Models: A Holistic Perspective and Comprehensive Review," Mathematics, MDPI, vol. 11(10), pages 1-43, May.
- Jinhee Park & Hyerin Kim & Jaekwang Kim & Mookyung Cheon, 2020. "A practical application of generative adversarial networks for RNA-seq analysis to predict the molecular progress of Alzheimer's disease," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-20, July.
- Yawen Wang & Shihua Zhang, 2023. "Prediction of Tumor Lymph Node Metastasis Using Wasserstein Distance-Based Generative Adversarial Networks Combing with Neural Architecture Search for Predicting," Mathematics, MDPI, vol. 11(3), pages 1-14, February.
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Keywords
generative adversarial networks (GAN); gene expression data; transcriptome; RNA; mRNA; deep learning; genomic data; artificial intelligence; generative artificial intelligence; genetics;All these keywords.
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