Model

Contents

Model#

Alignment#

model.regist_model(adata_omics1, ...[, ...])

A PyTorch-based model for cross-modality spatial omics integration via graph attention networks and adversarial alignment.

model.registration(adata_omics1, adata_omics2)

Perform spatial registration of two omics datasets using feature-guided optimal transport and anchor-based alignment.

model.registration_by_downsampling(...)

Propagate coarse-grained registration from downsampled bins back to full-resolution spatial coordinates.

Integrate#

model.integrate_model(adata_omics1, ...[, ...])

A graph autoencoder model for cross-modality spatial omics integration.

model.integrate_model_block(clip_results[, ...])

Block-wise cross-modal spatial omics integration model using graph autoencoders.
Contents