NEWS
scClustEval 1.0.0
Initial Release
- First public release of scClustEval
- Core features:
sc_assessment() / self_projection() for clustering quality assessment
sc_optimize() / sc_optimize_all() for iterative clustering optimization
- Support for multiple classifiers: LR, RF, SVM, NB, DT, XGBoost, Ranger
- Seamless Seurat integration with
RunAssessment() and RunOptimization()
- Visualization functions: ROC curves, confusion heatmaps, Sankey diagrams
- C++ acceleration for distance computation and matrix operations
- Full compatibility with Seurat V4 and V5
- Cross-platform support (Windows, macOS, Linux)