NEWS

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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)