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Table 4 Ovarian cancer AUC measurement table

From: Identifying hypermethylated CpG islands using a quantile regression model

Ï„

P < 0.01

p < 0.02

p < 0.03

p < 0.04

p < 0.05

95%

0.808

0.800

0.807

0.808

0.796

90%

0.822

0.821

0.815

0.815

0.809

85%

0.823

0.821

0.824

0.823

0.820

80%

0.826

0.846

0.836

0.819

0.812

75%

0.815

0.818

0.802

0.791

0.796

70%

0.774

0.769

0.784

0.780

0.774

65%

0.754

0.759

0.749

0.754

0.766

60%

0.712

0.714

0.672

0.687

0.671

  1. The first column contains the quantile levels. The second column contains a sub-table with each sub-column corresponding to the AUC measurement based on a specific p value and each sub-row corresponding to one quantile level. Bold numbers are the five largest AUC values in this table.
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BMC Bioinformatics

ISSN: 1471-2105

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