V0.1.2.post1

Update setup.cfg

V0.1.1.post1

Update setup.cfg

V0.1.8

Changelog

What’s New

Fixes

• Resolved an issue where results could not be saved reliably.
  • Added robust save/load pathways:
    • Arrays (source_feat, target_feat, target_pred/_filtered) saved via np.savez_compressed.
    • Metadata maps (pairs, pairs_filter) saved as JSON.
  • (Helpers included) save_dirac_results() and load_dirac_results() for one-line persistence.

Additions

• Function encapsulation / utilities
  • compute_markers_ctg(adata, label_key, n_genes=50): a thin, documented wrapper around sd.utils.ctg for differential gene discovery per label.

Improvements

• Cleaner, more modular notebooks and RAW Markdown tutorials:
  • Clear section anchors, segmented steps, and copy-paste code cells.
  • Unified parameter notes and recommended defaults (neighbors, epochs, lamb, scale_loss).
• Better out-of-the-box UX:
  • Fewer repeated code blocks (use helpers).
  • Safer defaults and clearer error messages.
  • Example layouts and download instructions for datasets.

Backward Compatibility

• No breaking API changes. Existing notebooks should run unchanged.
• New helpers are optional but recommended for clarity and reuse.

Acknowledgments

Thanks to users who reported the save-failure bug and requested cleaner utilities for DE and preprocessing. Your feedback directly shaped this update.

V0.1.7

Fix some bugs in data input.

V0.1.6

Code maintenance:

Added a graph construction method that integrates both spatial and expression information.

The model now incorporates multimodal information for the label transfer task.

V0.1.5

Code maintenance:

Added a graph construction method that integrates both spatial and expression information.

The model now incorporates multimodal information for the label transfer task.

V0.1.4

Delect some mistakes.

V0.1.3

Resolve version conflict issues