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Figure 1 | BMC Bioinformatics

Figure 1

From: Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets

Figure 1

Classification of Simulated Gene Expression Data. Receiver operating characteristic (ROC) curves showing classification performance of DLDA classifiers on simulated gene expression data. The symbols α and β are 1-specificity and sensitivity as described in the Methods section. Solid lines are average ROC curves over 100 iterations of training and test set selection. Dashed lines are empirical 95% confidence intervals. Bar plots give the mean 1-AUC (E) with error bars showing empirical 95% CIs.

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