A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis

Check out a very nice paper: State-of-the-Art Deep learning techniques for higher cluster purity in scRNA analyses. https://t.co/9S64c5wZKC

https://t.co/ppKwQgTVbC

https://t.co/1VjWLfiv3C

@dnusinow There are some pretty fancy dimensionality reduction tools using different types of networks. Ivis uses Siamese neural nets: https://t.co/hYI5jQ4PmD Variational autoencoders for dimensionality reduction: https://t.co/ENNjKgh32S