Package index
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osmFISH_bulk_coordinate - Spatial Coordinates for Simulated Bulk Samples (osmFISH)
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osmFISH_bulk_decon - Simulated Pseudo-Bulk Deconvolved Cell Type Compositions (osmFISH)
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osmFISH_bulk_pheno - Simulated Phenotypic Labels for Pseudo-Bulk Samples (osmFISH)
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osmFISH_metadata_cellType - Simulated Cell Type Labels for osmFISH Dataset
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osmFISH_metadata_region - Simulated Region Labels for osmFISH Dataset
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osmFISH_phenotype_simu - Simulated Phenotype Labels for osmFISH Dataset
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BuildPhenoModelAutoAlpha() - Build Elastic Net Model with Automatic Alpha Selection
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Cell_type_neighborhood() - Compute Local Cell Type Composition in the Spatial Neighborhood
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compute_shap_spatial() - Compute SHAP Values for Spatial Transcriptomics Data
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FeatureImportanceCoef() - Plot Feature Coefficients from a glmnet Model
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generate_simulated_bulk_data() - Generate Simulated Pseudo-Bulk Data for Two Phenotypes
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GeneratePermutations() - Generate Permutation Scores for Model Significance Testing
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PhenoAbundancePlot() - Visualize Average Cell Type Abundance by Phenotype Label
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PhenotypeHclust() - Phenotype-based Hierarchical Clustering and Visualization of Cell Type Distributions
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PhenotypePlot() - Plot Spatial Phenotype Significance Map with Permutation Thresholds
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Precision_Recall_macroF1() - Compute Macro-Averaged Precision, Recall, and F1 Score for Multiclass Classification
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SpatialKNN() - Compute K-Nearest Neighbors for Spatial Coordinates
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SpatialPhenoMap() - Map Bulk Phenotype to Spatial Transcriptomics via Interpretable Modeling
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STplot() - Spatial Transcriptomics Scatter Plot with Labels
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ThresholdPlot() - Plot Prediction vs. Permutation Distributions with Significance Thresholds
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SpaPheno_SHAP_dependence_plot() - SHAP Dependence Plot for Selected Features
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SpaPheno_SHAP_residual_analysis() - Residual-based SHAP Analysis and Visualization in Spatial Transcriptomics
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SpaPheno_SHAP_summary_plot() - SHAP Summary Plot
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SpaPheno_SHAP_waterfall_plot() - SHAP Waterfall Plot for a Single Sample