Variance-Aware Multi-Sample Spatial Colocalization Analysis


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Documentation for package ‘panoramic’ version 0.99.4

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create_spatial_network Construct spatial colocalization network from PANORAMIC results
panoramic Run PANORAMIC End-To-End
panoramic_analyze Run PANORAMIC end-to-end, including pooling/meta-analysis
panoramic_extract_contrast Extract PANORAMIC Contrast, Meta, or Spatialstats Tables
panoramic_meta_mv Multilevel Random-Effects Meta-Analysis of PANORAMIC Features
panoramic_prepare Prepare PANORAMIC inputs from a list of SpatialExperiment objects
panoramic_simulate_dataset Simulate a two-group PANORAMIC example dataset
panoramic_simulate_spe Simulate one SpatialExperiment object for PANORAMIC examples
panoramic_spatialstats Compute Pairwise Spatial Statistics for PANORAMIC
plot_forest Forest Plot for PANORAMIC Spatial Colocalization
plot_representative_samples Plot Representative Samples for Significant Differential Hits
plot_spatial_network Plot PANORAMIC spatial colocalization network
plot_volcano Volcano plot for differential spatial colocalization