popari.tl.compute_empirical_correlations#
- popari.tl.compute_empirical_correlations(trained_model, feature='X', level=0, output='empirical_correlation')[source]#
Compute the empirical spatial correlation for a feature set across all datasets.
- Parameters:
trained_model (Popari) – the trained Popari model.
feature (str) – key in .obsm of feature set for which spatial correlation should be computed.
output (str) – key in .uns where output correlation matrices should be stored.