class scvi.core.models.RNASeqMixin[source]


differential_expression([adata, groupby, …])

A unified method for differential expression analysis.

get_feature_correlation_matrix([adata, …])

Generate gene-gene correlation matrix using scvi uncertainty and expression.

get_latent_library_size([adata, indices, …])

Returns the latent library size for each cell.

get_likelihood_parameters([adata, indices, …])

Estimates for the parameters of the likelihood \(p(x \mid z)\)

get_normalized_expression([adata, indices, …])

Returns the normalized (decoded) gene expression.

posterior_predictive_sample([adata, …])

Generate observation samples from the posterior predictive distribution.