A novel batch-effect correction method for scRNA-seq data based on Adversarial Information Factorization
Fig 2
Adversarial Information Factorization’s architecture (AIF).
The model comprises three blocks: the CVAE in blue, the GAN network in pink, and the auxiliary network in green. x is the original cell’s gene expression, y is the true batch label, is the latent vector,
is the reconstructed cell’s gene expression,
,
,
are the predicted batch labels based on x,
and
respectively.