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  • Use cases
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Site Navigation

  • Use cases
  • Changelog
  • Manage data types
    • scRNA-seq
      • Standardize and append a dataset
      • Query artifacts
      • Analyze a collection in memory
      • Train a machine learning model on a collection
      • Concatenate datasets to a single array store
    • Bulk RNA-seq
    • Flow cytometry
      • Append a new dataset
      • Query & integrate data
      • Analyze the collection and save a result
    • Spatial RNA-seq
      • Interactive visualization using Vitessce
      • Curate and ingest spatial data
      • Train a spatial ML model
    • Multi-modal
    • EHR
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    • CellTypist
    • Gene Ontology (GO)
    • Cell type annotation and pathway analysis
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  • Access atlases
    • Arc Virtual Cell Atlas: scRNA-seq
    • Hubmap

Markdown

Interactive visualization using Vitessce¶

SpatialDatasets can be visualized interactively on LaminHub using Vitessce.

Here is a guide for visualizing spatial data with Vitessce.

This notebook adds the Vitessce visualization to this Xenium dataset discussed on the previous page.

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Spatial RNA-seq

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Curate and ingest spatial data

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