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scVIVA-Tools - Home scVIVA-Tools - Home
  • Installation
  • User Guide
    • Models
      • ResolVI
      • DestVI
      • scVIVA
      • gimVI
      • Stereoscope
      • Tangram
      • DiagVI
      • Harreman
      • VISION
    • Background
      • Variational Inference
      • Differential Expression
      • Differential Abundance
      • Spatial Transcriptomics Methods
    • Use Cases
      • Saving and Loading Models
      • Training Configuration
      • Downstream Analysis
  • Tutorials
    • ResolVI to address noise and biases in spatial transcriptomics
    • Multi-resolution deconvolution of spatial transcriptomics with DestVI and Harreman
    • scVIVA for representing cells and their environment in spatial transcriptomics
    • Introduction to gimVI
    • Stereoscope applied to left ventricule data
    • Mapping human lymph node cell types to 10X Visium with Cell2location
    • Spatial mapping with Tangram
    • Integration of scRNA-seq and spatial transcriptomics data with DiagVI
    • Integration of scRNA-seq and spatial proteomics data with DiagVI
    • Metabolic zonation and crosstalk on the 10x Visium mouse colon dataset
    • VISION on the Visium mouse colon dataset
    • Preprocessing datasets for analysis with scVIVA-Tools
  • API Reference
    • User API
      • scviva.model.SCVIVA
      • scviva.model.DestVI
      • scviva.model.ResolVI
      • scviva.model.GIMVI
      • scviva.external.DIAGVI
      • scviva.external.RNAStereoscope
      • scviva.external.SpatialStereoscope
      • scviva.external.Tangram
      • scviva.tl.HarremanAnalysis
      • scviva.tl.VisionAnalysis
      • scviva.tools.harreman.HarremanHotspotAccessor
      • scviva.tools.harreman.HarremanVisionAccessor
      • scviva.tools.harreman.HarremanToolsAccessor
      • scviva.tools.harreman.HarremanPlottingAccessor
      • scviva.tools.vision.VisionToolsAccessor
      • scviva.tools.harreman.hotspot.compute_local_autocorrelation
      • scviva.tools.harreman.hotspot.compute_local_correlation
      • scviva.tools.harreman.hotspot.create_modules
      • scviva.tools.harreman.hotspot.calculate_module_scores
      • scviva.tools.harreman.hotspot.calculate_super_module_scores
      • scviva.tools.harreman.hotspot.compute_top_scoring_modules
      • scviva.tools.harreman.hotspot.load_metabolic_genes
      • scviva.tools.harreman.vision.integrate_vision_hotspot_results
      • scviva.tools.harreman.tools.compute_knn_graph
      • scviva.tools.harreman.tools.apply_gene_filtering
      • scviva.tools.harreman.tools.compute_gene_pairs
      • scviva.tools.harreman.tools.compute_cell_communication
      • scviva.tools.harreman.tools.compute_ct_cell_communication
      • scviva.tools.harreman.tools.compute_interacting_cell_scores
      • scviva.tools.harreman.tools.compute_ct_interacting_cell_scores
      • scviva.tools.harreman.tools.select_significant_interactions
      • scviva.tools.harreman.tools.compute_interaction_module_correlation
      • scviva.tools.harreman.preprocessing.extract_interaction_db
      • scviva.tools.harreman.preprocessing.setup_deconv_adata
      • scviva.tools.harreman.preprocessing.read_h5ad
      • scviva.tools.harreman.preprocessing.write_h5ad
      • scviva.tools.harreman.datasets.load_visium_mouse_colon_dataset
      • scviva.tools.harreman.datasets.load_slide_seq_human_lung_dataset
      • scviva.tools.vision.VisionResults
      • scviva.tools.vision.NormData
      • scviva.tools.vision.apply_filters
      • scviva.tools.vision.filter_genes_fano
      • scviva.tools.vision.filter_genes_novar
      • scviva.tools.vision.filter_genes_threshold
      • scviva.tools.vision.get_normalized_copy
      • scviva.tools.vision.get_normalized_copy_sparse
      • scviva.tools.vision.log2p1
      • scviva.tools.vision.compute_latent_space
      • scviva.tools.vision.apply_pca
      • scviva.tools.vision.apply_permutation_wpca
      • scviva.tools.vision.apply_ica
      • scviva.tools.vision.apply_isomap
      • scviva.tools.vision.apply_rbfpca
      • scviva.tools.vision.apply_tsne
      • scviva.tools.vision.apply_umap
      • scviva.tools.vision.generate_projections
      • scviva.tools.vision.find_knn
      • scviva.tools.vision.compute_knn_weights
      • scviva.tools.vision.compute_knn_weights_anndata
      • scviva.tools.vision.compute_knn_weights_from_tree
      • scviva.tools.vision.compute_knn_weights_from_tree_anndata
      • scviva.tools.vision.compute_knn_weights_from_tree_lca
      • scviva.tools.vision.compute_knn_weights_from_tree_lca_anndata
      • scviva.tools.vision.apply_micro_clustering
      • scviva.tools.vision.pool_matrix
      • scviva.tools.vision.pool_matrix_anndata
      • scviva.tools.vision.pool_metadata
      • scviva.tools.vision.pool_metadata_anndata
      • scviva.tools.vision.load_signatures
      • scviva.tools.vision.split_signed_signatures
      • scviva.tools.vision.compute_signature_scores
      • scviva.tools.vision.compute_signatures_anndata
      • scviva.tools.vision.compute_obs_df_scores
      • scviva.tools.vision.cluster_cells_tree
      • scviva.tools.vision.compute_plasticity_scores
      • scviva.tools.vision.rank_genes_groups
      • scviva.pl.harreman.local_correlation_plot
      • scviva.pl.harreman.average_local_correlation_plot
      • scviva.pl.harreman.module_score_correlation_plot
      • scviva.pl.harreman.plot_interacting_cell_scores
      • scviva.pl.harreman.plot_ct_interacting_cell_scores
      • scviva.pl.harreman.plot_interaction_module_correlation
      • scviva.pl.vision.plot_vision_autocorrelation
      • scviva.pl.vision.plot_vision_de_results
      • scviva.pl.vision.plot_signature_for_selection
      • scviva.pl.vision.plot_selection_histplot
      • scviva.pl.plot_cell_type_map
      • scviva.pl.scviva_de.plot_niche_de_decision_boundary
      • scviva.pl.scviva_de.plot_connectivity_distribution
      • scviva.settings
    • Developer API
      • scviva.model.base.SpatialBaseModel
      • scviva.model.base.SpatialNeighborhoodMixin
      • scviva.model.base.SpatialDeconvolutionMixin
      • scviva.model.base.SpatialPredictiveMixin
      • scviva.data.SpatialCoordsField
      • scviva.data.NeighborhoodGraphField
      • scviva.module.nicheVAE
      • scviva.module.JVAE
      • scviva.utils.get_spatial_coords
      • scviva.utils.validate_spatial_coords
      • scviva.utils.resolve_device
      • scviva.utils.stats_dtype
  • Developer Documentation
    • Contributing Code
    • Maintenance Guide
  • Architecture
  • Frequently Asked Questions
  • Changelog
  • References
  • Discussion
  • GitHub
  • Model hub
  • Repository
  • Suggest edit
  • Open issue
  • .md

Tutorials

Tutorials#

  • ResolVI to address noise and biases in spatial transcriptomics
  • Multi-resolution deconvolution of spatial transcriptomics with DestVI and Harreman
  • scVIVA for representing cells and their environment in spatial transcriptomics
  • Introduction to gimVI
  • Stereoscope applied to left ventricule data
  • Mapping human lymph node cell types to 10X Visium with Cell2location
  • Spatial mapping with Tangram
  • Integration of scRNA-seq and spatial transcriptomics data with DiagVI
  • Integration of scRNA-seq and spatial proteomics data with DiagVI
  • Metabolic zonation and crosstalk on the 10x Visium mouse colon dataset
  • VISION on the Visium mouse colon dataset
  • Preprocessing datasets for analysis with scVIVA-Tools

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Downstream Analysis

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ResolVI to address noise and biases in spatial transcriptomics

By Ori Kronfeld

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