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Table 1 Breast 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%

0.865

0.843

0.839

0.839

0.845

90%

0.846

0.843

0.840

0.849

0.850

85%

0.849

0.847

0.846

0.848

0.855

80%

0.868

0.851

0.849

0.849

0.849

75%

0.837

0.825

0.832

0.833

0.843

70%

0.797

0.779

0.788

0.821

0.835

65%

0.753

0.747

0.746

0.754

0.762

60%

0.645

0.669

0.670

0.676

0.681

  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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