- class scvi.utils.DifferentialComputation(model_fn, adata)¶
Unified class for differential computation.
This class takes a function from a model like SCVI or TOTALVI and takes outputs from this function with respect to the adata input and computed Bayes factors as described in [Lopez18], [Xu21], or [Boyeau19].
Function in model API to get values from.
AnnData setup with scvi
get_bayes_factors(idx1, idx2[, mode, …])
A unified method for differential expression inference.
scale_sampler(selection[, n_samples, …])
Samples the posterior scale using the variational posterior distribution.