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Fused Ridge Regression on High-Dimensional (Wide) Data5 months ago
Introduction | The Problem: Data Leakage in Two-Stage Models | Realistic Synthetic Experiment | 1. Data Generation | 2. Nested Cross-Validation (The "No Leakage" Approach) | Results and Visualization | 1. Predictive Performance (AUC) | 2. Coefficient Trajectories | Anatomically-Grounded Example: Predicting Cognitive Decline | 1. Data Preparation with Anatomical Context | 2. The Power of Sparse Selection | 3. Evaluating Actual Predictions | 4. Visualizing Anatomical Patterns | Real-World Application: Blood-Brain Barrier (BBB) Permeability | 1. Data Preparation | 2. Identifying Stable Molecular Signatures | 4. Visualizing the Molecular Signature | Conclusion
simlr_interpretation6 months ago
Similarity-driven multi-view linear reconstruction | Introduction | Example: Applying SiMLR to Simulated Multi-View Data | Step 1: Simulate Multi-View Data | Step 2: Apply SiMLR | Step 3: Visualization and Comparison | Visualizing Correlations | Step 4: Permutation Test | Integration of Multiple Data Types via Dimensionality Reduction | Sparse Feature Selection | Improved Model Interpretability | Cross-Modal Prediction or Imputation | Testing Significance of Joint Relationships | Evaluating Machine Learning Objective Functions | Path modeling | Summary
Transformations and statistical representations for images in R12 months ago
Introduction | ANTsR Algorithms | Data organization and access in ANTsR | Contributions of the package | Basic ANTsR functionality | More ANTsR functionality | Example label sets and data | Visualization and plotting | BOLD data processing with ANTsR | Dimensionality reduction | Conclusions | References
Simulate a deformation field with ANTsR2 years ago
iMath (mathematical operations inside ANTsR)2 years ago
Basic operations | Magnitude of gradient computation | Laplacian of Gaussian of an image | All iMath operations | References
multivariate template coordinates example for eigenanatomy2 years ago
Resting BOLD (basic analyses using ANTsR)2 years ago
Overview | Preprocessing | Steady-state | Motion correction | Identify "bad" time-points | Connectivity processing | Detrending the data | Collect nuisance parameters to regress out | Frequency filtering | Spatial smoothing | Building networks | ROI definition | Getting ROI average signals | Visualizing constant density graphs | Graph metrics | Node measures | Global network measures | References