INSPIRE
v1.0.0
  • Instructions
  • Tutorials
    • Example 1: Analysis of human dorsolateral prefrontal cortex (DLPFC) dataset.
    • Example 2: Analysis of mouse brain slices with complementary views.
    • Example 3: Analysis of mouse brain slices across distinct ST technologies.
    • Example 4: Analysis of mouse whole-embryo slices across distinct ST technologies.
    • Example 5: Analysis of mouse whole-embryo slices across developmental stages.
    • Example 6: Spatial registration between two MERFISH hypothalamus sections.
      • Run INSPIRE on adjacent MERFISH slices from mouse hypothalamic preoptic region
      • Analysis of spatial factors
      • Spatially register the two MERFISH sections using rigid transformation with MNNs
    • Example 7: Spatial registration between two STARmap PLUS hippocampus sections.
    • Example 8: 3D reconstruction of mouse embryo by integrating multiple 2D slices.
    • Example 9: Analysis of mouse skin data undergoing wound healing
    • Example 10: Analysis of human breast cancer Xenium data, revealing microenvironment heterogeneity across tumor subtypes
  • Installation
INSPIRE
  • Tutorials
  • Example 6: Spatial registration between two MERFISH hypothalamus sections.
  • View page source

Example 6: Spatial registration between two MERFISH hypothalamus sections.

  • Run INSPIRE on adjacent MERFISH slices from mouse hypothalamic preoptic region
    • Import packages
    • Load data
    • Data preprocessing
    • Build spatial graph
    • Run INSPIRE model
    • Access spot representations, proportions of spatial factors in spots, and gene loading matrix
    • Spatial distributions of spatial factors in tissues
    • Spot representations
    • Porportions of spatial factors visualized on spot representations
    • Save results
  • Analysis of spatial factors
    • Load results
    • Visualize proportions of spatial factors in cells on UMAP coordinates
    • Correspondence of spatial factors to cell types
    • Visualize cell typing result
  • Spatially register the two MERFISH sections using rigid transformation with MNNs
    • Load results
    • Register section 1 onto section 2
    • Registration result visualization
    • Save result
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