Usage# Quickstart Load datasets Define hyperparameters Initialize Train Save to disk Preprocessing Demo Load data Load raw expression Load spatial coordinates Reformat Data transformation Graph construction Saving to disk Quality control (QC) Metric plots in situ plot Overcoming sparsity with spatial binning Using spatial binning with Popari Training Demo Training Loop Hierarchical Training Save results to disk Load a pretrained model Analysis Demo Load trained model Load from MLflow Generic analyses Postprocessing Leiden clustering Spatial domain clustering Plot all metagenes in-situ Comparing empirical correlations to learned affinities Plot particular metagenes Plot differential metagene expression across domains Metagene GO enrichment analysis Hierarchical analyses Postprocessing Label propagation Visualization Custom plotting function Grid Search with MLflow Configuring your grid search View results CLI