combiROC

combiROC performs combinatorial selection of biomarkers to optimize multimarker signatures for diagnostic applications across proteomics, transcriptomics and single-cell datasets.

Key Features:

• Multimarker Signature Optimization: Evaluates combinations of candidate biomarkers using combinatorial analysis and statistical selection to identify optimal multimarker panels.
• Customizable Sensitivity/Specificity Filters: Implements configurable sensitivity and specificity thresholds and computes sensitivity and specificity for all possible marker combinations.
• Performance Visualization: Produces ROC curves and quantitative performance metrics for automatic comparison of marker combinations.
• Flexibility and Efficiency: Operates without fixed thresholds to enable dataset-specific parameterization, reducing computational burden and minimizing false negatives from rigid cutoffs.
• Validation: Has been validated on published datasets, confirming previously described marker combinations and identifying novel combinations.

Scientific Applications:

• Diagnostic panel development: Optimize multimarker panels and gene signatures to improve disease identification and diagnostic accuracy.
• Single-cell heterogeneity analysis: Select marker combinations to characterize heterogeneity at single-cell resolution.
• Multi-omics integration: Combine proteomics and transcriptomics candidate markers for cross-platform biomarker selection.

Methodology:

Combinatorial analysis of candidate marker panels; computation of sensitivity and specificity for all possible marker combinations; generation of ROC curves; statistical selection methods with configurable sensitivity/specificity filters.