Index A | C | D | E | F | G | I | M | N | P | R | T | V A add_cluster() (in module coral.utils.preprocessing) average_attention_weights_for_unique_edges() (in module coral.inference) C compare_gene_expression() (in module coral.utils.visualization) compare_gene_expression_all() (in module coral.utils.visualization) coral.inference module coral.model module coral.trainer.train module coral.utils.preprocessing module coral.utils.visualization module CORAL_model (class in coral.model.model_core) create_model() (in module coral.model) D display_reconst() (in module coral.utils.visualization) downsample_spatial_data() (in module coral.utils.preprocessing) E efficient_contrastive_loss() (coral.model.model_core.CORAL_model method) encode() (coral.model.model_core.CORAL_model method) F forward() (coral.model.model_core.CORAL_model method) G generate_and_validate() (in module coral.inference) I infer_v() (coral.model.model_core.CORAL_model method) M module coral.inference coral.model coral.trainer.train coral.utils.preprocessing coral.utils.visualization N NegBinom (class in coral.trainer.train) P plot_latent_umap() (in module coral.utils.visualization) plot_spatial() (in module coral.utils.visualization) plot_umap() (in module coral.utils.visualization) plot_umap_gene() (in module coral.utils.visualization) prepare_local_subgraphs() (in module coral.utils.preprocessing) preprocess_data() (in module coral.utils.preprocessing) px_r (coral.model.model_core.CORAL_model property) px_r_sc (coral.model.model_core.CORAL_model property) py_r (coral.model.model_core.CORAL_model property) R reindex_adata_qz() (in module coral.inference) reparameterize() (coral.model.model_core.CORAL_model method) T train_model() (in module coral.trainer.train) V visualize_subgraph() (in module coral.utils.visualization)