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Table 2 The comparison of CEO and K-means

From: HMMvar-func: a new method for predicting the functional outcome of genetic variants

 

Dunn

Davies-Bouldin

Accuracy

Sensitivity

Specificity

CEO

0.429

0.838

0.654

0.667

0.638

median K-means

0.378

0.973

0.574

0.569

0.560

best K-means

0.513

0.839

0.679

0.742

0.600

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BMC Bioinformatics

ISSN: 1471-2105

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