https://www.selleckchem.com/pr....oducts/Chlorogenic-a
Experiments on standard datasets demonstrate that LDA-GAN achieves not only high stability and high efficiency in the process of confrontation learning but also gives full play to the semi-supervised learning advantage of generative adversarial learning framework for unlabeled data, which further improves the prediction accuracy of lncRNA-disease association. Besides, case studies show that LDA-GAN can accurately generate potential diseases for several lncRNAs. Experiments on standard datasets demonstrate that LDA-GAN achieves
Like
Comment
Share
