Case Study: A Disease-Associated Monocyte State in COVID-19 25 days ago
Purpose | The data | Step 1: project | Step 2: detect | Step 3: characterize | R Session Info
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Case Study: An Inflamed Fibroblast State in Spatial Colitis Data 25 days ago
Purpose | The data | Step 1: project | Step 2: detect | Step 3: characterize | R Session Info
Introduction to scDiagnostics 25 days ago
Purpose | Overview of the workflow | Installation | Installation from Bioconductor (Release) | Installation from GitHub (Development) | A worked example with known ground truth | Finding the function you need | Visualization | Dataset alignment and statistical comparison | Anomaly detection and cell distances | Marker gene alignment | Utilities | R Session Info
Benchmarking Anomaly Detection Against Ground Truth 25 days ago
Purpose | A live example: a withheld cell type related to a retained one | Baseline: distinct, related, and rare withheld cell types | Sensitivity to label noise, class imbalance, and batch effects | Hyperparameter sensitivity | Combining both methods | R Session Info
Getting Started with srlars26 days ago
Introduction | Building a test case: contaminated, high-dimensional data | Fitting srlars() | Controlling how much sub-models can share: max_share | Guaranteeing a minimum sub-model size: n_min | Choosing max_share automatically: cv.srlars()
Gamma and Exponential Generalized Linear Models with Elastic Net Penalty7 years ago
Risk and Performance Estimators Standared Errors (RPESE)7 years ago
Abstract | 1 Introduction | 2 RPESE Component Packages | 3 How to Use RPESE | References
Vignette for Risk and Performance Estimators Influence Functions Package7 years ago
1 Influence Functions Theoretical Background | 2 RPEIF Package Estimators and their Influence Functions | 3 Using the RPEIF Package to Evaluate Influence Functions and Compute Influence-Function Transformed Returns | 4 Outlier Cleaning | 5 Robust Esimator of Mean Influence Function | 6 Prewhitening