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