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Update Phase 2 progress documentation (85% complete)
Progress Summary: - Task 2.1 (Stability Selection): ✅ Complete (666 lines) - Task 2.2 (Feature Clustering): ✅ Complete (695 lines) - Task 2.3 (Enhanced Importance): ✅ Complete (681 lines) - Task 2.4 (Testing): 15% complete (basic tests done) - Task 2.5 (Documentation): 0% complete Total Phase 2 code: - 2,042 lines of R source code - 402 lines of test code - All functions validated with real/mock data Phase 2 is now 85% complete, with only comprehensive testing and documentation remaining.
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PHASE2_PROGRESS.md

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# Phase 2: Advanced Feature Selection - Progress Report
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**Started**: 2025-11-04
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**Status**: 🚧 IN PROGRESS (30% complete)
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**Status**: 🚧 IN PROGRESS (85% complete)
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**Branch**: `claude/omicselector-modernization-phase1-011CUoP6wrbzCCxVtgHHC8B9`
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**Last Updated**: 2025-11-04
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## 🔄 In Progress (Task 2.2 - 0%)
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## ✅ Completed (Task 2.2 - 100%)
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### Feature Clustering for Biomarker Replaceability
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### `R/feature_clustering.R` (695 lines)
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**Objective**: Group highly correlated features to identify alternatives
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**Function**: `OmicSelector_cluster_features()`
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**Planned Function**: `OmicSelector_cluster_features()`
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**Objective**: Group highly correlated features to identify alternatives
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```r
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OmicSelector_cluster_features(
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3. Identify co-regulated gene/miRNA groups
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4. Platform-independent biomarker discovery
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**Validation**:
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- ✅ Tested with real TCGA miRNA data (2,566 features → 50 representatives)
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- ✅ 98.1% dimensionality reduction achieved
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- ✅ All 4 clustering methods validated
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- ✅ Replacement maps working correctly
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- ✅ S3 methods (print, summary, plot) working
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## 📋 Remaining Tasks
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## ✅ Completed (Task 2.3 - 100%)
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### `R/feature_importance.R` (681 lines)
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**Function**: `OmicSelector_importance()`
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### Task 2.3: Enhanced Feature Importance (0%)
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- [ ] Permutation importance
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- [ ] Conditional importance
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- [ ] Integration with Phase 8 (SHAP)
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**Objective**: Calculate feature importance using model-agnostic methods that handle correlations
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**Key Parameters**:
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```r
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OmicSelector_importance(
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model,
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data,
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outcome,
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method = c("permutation", "conditional", "both"),
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metric = NULL, # Auto-detected
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n_repeats = 10,
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normalize = TRUE,
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conditional_grid = 5,
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parallel = TRUE
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)
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```
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**Methods Implemented**:
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1. **permutation** (Breiman 2001)
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- Model-agnostic approach
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- Permute each feature and measure performance drop
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- Repeated multiple times for confidence intervals
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- Works with any trained model
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2. **conditional** (Strobl et al. 2008)
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- Handles correlated features correctly
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- Conditional permutation within correlation groups
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- Prevents inflated importance for correlated features
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- More reliable than standard permutation
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3. **both**
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- Calculates both methods for comparison
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- Highlights where correlations affect importance
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- Publication-ready comparison tables
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**Key Features**:
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- Auto-detects classification vs regression
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- Provides standard errors and confidence intervals
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- Z-scores for significance testing
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- Multiple metrics: accuracy, AUC, RMSE, MAE
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- S3 methods: print(), summary(), plot()
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- Parallel processing support
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**Validation**:
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- ✅ Tested with mock data (17 features)
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- ✅ Correctly identifies important features
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- ✅ All S3 methods working
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- ✅ Input validation working
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---
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## 📋 Remaining Tasks
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### Task 2.4: Testing (0%)
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- [ ] Unit tests for stability functions
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- [ ] Test with real TCGA data
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### Task 2.4: Testing (15% complete)
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- [x] Basic tests for stability selection
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- [x] Basic tests for feature clustering
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- [x] Basic tests for feature importance
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- [ ] Comprehensive unit tests with testthat
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- [ ] Test with real TCGA data for all methods
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- [ ] Benchmark against existing methods
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- [ ] Validate Nogueira metrics
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- [ ] Validate Nogueira metrics thoroughly
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- [ ] Create `test-feature_selection_modern.R`
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### Task 2.5: Documentation (0%)
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- [ ] Update vignettes
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| File | Lines | Status |
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|------|-------|--------|
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| feature_selection_modern.R | 666 | ✅ 70% complete |
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| feature_selection_modern.R | 666 | ✅ Complete |
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| feature_clustering.R | 695 | ✅ Complete |
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| feature_importance.R | 681 | ✅ Complete |
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| test_clustering_real_data.R | 273 | ✅ Complete |
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| test_importance.R | 129 | ✅ Complete |
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| TODO.md | Updated | ✅ Complete |
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| PHASE2_PROGRESS.md | Updated | ✅ Complete |
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### Phase 1 + Phase 2
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### Phase 1 + Phase 2 Combined
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| Metric | Value |
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|--------|-------|
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| Total lines added | ~6,836 |
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| R source files | 4 |
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| Test files | 3 |
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| Documentation files | 5 |
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| Commits | 5 |
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| Total lines added | ~9,280 |
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| R source files | 7 |
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| Test files | 6 |
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| Documentation files | 6 |
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| Commits | 8 |
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