BioClaw.DIRECTORYSubmit a tool
Single-cell Analysis / Python package

scvi-tools

Fit probabilistic models for tasks such as learning shared expression embeddings or transferring labels.

Best fit

Python analysts comparing large RNA expression datasets.

What you need

A supported Python environment and the data layers required by the chosen model.

What to check

A shared embedding can obscure real biological differences when the batches and conditions coincide.