SPACEc
0.0.8
  • Overview
  • Tutorials
    • SPACEc: Tissue extractor
    • SPACEc: Cell Segmentation
    • SPACEc: Signal Preprocessing
    • SPACEc: ML-enabled cell type annotation (STELLAR)
    • SPACEc: ML-enabled cell type annotation (SVM)
    • SPACEc: Clustering
    • SPACEc: Cellular Neighborhood Analysis
    • SPACEc:Distance permutation analysis
    • SPACEc: Patch proximity analysis
    • SPACEc: Using TissUUmaps for interactive visualization
  • Contributions & Help
  • License
  • Authors
  • Changelog
  • Module Reference
SPACEc
  • Tutorials
  • Edit on GitHub

Tutorials

  • SPACEc: Tissue extractor
    • Downscale CODEX images
    • Segment individual tissue pieces
    • Rename tissue number (optional)
    • Extract individual labeled tissue
  • SPACEc: Cell Segmentation
    • Cell segmentation
    • Viusalizing the segmentation result
    • Save the segmentation result
  • SPACEc: Signal Preprocessing
    • Filter cells by DAPI intensity and area
    • Normalize data
    • Remove noisy cells
    • Show the spatial distribution for size (Optional)
  • SPACEc: ML-enabled cell type annotation (STELLAR)
    • Data Explanation
    • Training
    • Inspect the results
    • Single-cell visualzation
  • SPACEc: ML-enabled cell type annotation (SVM)
    • Data Explanation
    • Training
    • Single-cell visualzation
  • SPACEc: Clustering
    • Clustering
    • Single-cell visualzation
  • SPACEc: Cellular Neighborhood Analysis
    • Cellular Neighborhoods analysis
    • Spatial context maps
    • Barycentric coordinates plot
  • SPACEc:Distance permutation analysis
    • Identify potential interactions
    • Visualization
  • SPACEc: Patch proximity analysis
    • Compute for proximal cells
    • Visualization
  • SPACEc: Using TissUUmaps for interactive visualization
    • Instructions
    • Integrated use

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© Copyright 2024, Yuqi Tan, Tim Kempchen, Martin Becker. Revision 55018cfc.

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