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Figure 5 | BMC Bioinformatics

Figure 5

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

Figure 5

Kaplan-Meier plots of survival rates for predicted tumor classes with different feature selection/cross-validation methods. Classifiers trained on the basis of relapse-free status on diffuse large B-cell lymphoma dataset GSE4475. Column 1: Signal to noise ratio. Column 2: Ratio of between class to within class sum of squares. Row 1: Leave-one out cross-validation. All data used for training and testing. Row 2: Training and test sets selected randomly from the dataset. Training based on leave-one out cross-validation.

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