Pages that link to "Item:Q5963064"
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The following pages link to ROC analysis for multiple markers with tree-based classification (Q5963064):
Displaying 13 items.
- ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies (Q141611) (← links)
- Evaluating the ROC performance of markers for future events (Q1029793) (← links)
- Visualizing the decision rules behind the ROC curves: understanding the classification process (Q2245666) (← links)
- ROC representation for the discriminability of multi-classification markers (Q2417831) (← links)
- Optimal receiver operating characteristic manifolds (Q2437277) (← links)
- Combining multiple markers for multi-category classification: an ROC surface approach (Q2802750) (← links)
- Marker selection via maximizing the partial area under the ROC curve of linear risk scores (Q3303684) (← links)
- Biomarker evaluation and comparison using the controls as a reference population (Q3304954) (← links)
- Using the Optimal Robust Receiver Operating Characteristic (ROC) Curve for Predictive Genetic Tests (Q3576937) (← links)
- Bivariate Marker Measurements and ROC Analysis (Q4911946) (← links)
- Accounting for clinical covariates and interactions in ranking genomic markers using ROC (Q4976565) (← links)
- Editorial (Q5963058) (← links)
- Obtaining optimal cutoff values for tree classifiers using multiple biomarkers (Q6055534) (← links)
