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Fig. 4 | BMC Bioinformatics

Fig. 4

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

Fig. 4

The overall architecture of an Adversarial Variational AutoEncoder (AVAE) framework. An autoencoder (that is, a deep encoder and a deep decoder) reconstructs the scRNA-seq data from a latent code vector z. A discriminator network is trained to discriminatively predict whether a sample arises from a prior distribution or from the latent code distribution of the autoencoder

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BMC Bioinformatics

ISSN: 1471-2105

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