##Federated deep count autoencoder for denoising scRNA-seq data
A deep count autoencoder network to denoise scRNA-seq data and remove the dropout effect by taking the count structure, overdispersed nature and sparsity of the data into account using a deep autoencoder with zero-inflated negative binomial (ZINB) loss function.
See manuscript and tutorial for more details.
Output folder contains the main output file (representing the mean parameter of ZINB distribution) as well as some additional matrices in TSV format: