INSPIRE
v1.0.0
  • Instructions
  • Tutorials
    • Example 1: Analysis of human dorsolateral prefrontal cortex (DLPFC) dataset.
      • Run INSPIRE on the human DLPFC dataset
      • Calculate benchmarking scores
      • Perform spatial trajectory inference
      • Enrichment or depletion of spatial factors in cortical layers
      • Analysis of spatial factors and their associated gene signatures
      • Run INSPIRE on the human DLPFC dataset (12 sections)
    • 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.
    • 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 1: Analysis of human dorsolateral prefrontal cortex (DLPFC) dataset.
  • View page source

Example 1: Analysis of human dorsolateral prefrontal cortex (DLPFC) dataset.

  • Run INSPIRE on the human DLPFC dataset
    • Import packages
    • Load data
    • Data preprocessing
    • Build spaital 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 and spatial domain identification
  • Calculate benchmarking scores
    • Load results
    • Calculate ASW, ARI, and NMI
    • Calculate factor diversity and factor coherence
  • Perform spatial trajectory inference
    • Load results
    • Spatial trajectory inference
  • Enrichment or depletion of spatial factors in cortical layers
    • Load results
    • Enrichment or depletion analysis
  • Analysis of spatial factors and their associated gene signatures
    • Visualization of layer-specific spatial factors
    • Identify cell type markers using scRNA-seq data and evaluate their gene rankings for corresponding spatial factors.
    • Identify top genes related to spatial factors and check their expression patterns in scRNA-seq data
  • Run INSPIRE on the human DLPFC dataset (12 sections)
    • Import packages
    • Load data
    • Run INSPIRE model
    • Spatial distributions of spatial factors in tissues
    • Spot representations and spatial domain identification
    • Spot representation scores
    • Factor scores
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