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Table 5 Ovarian cancer AUC measurement table

From: Preprocessing differential methylation hybridization microarray data

(1): p < 0.05

 

none

sub

edwards

normexp

normexp50

 

none

0.758

0.754

0.754

0.732

0.742

 

LOESS

0.802

0.812

0.819

0.820

0.823

 

composite

0.764

0.771

0.771

0.782

0.796

 

control

0.805

0.826

0.820

0.811

0.803

(2): p < 0.04

 

none

sub

edwards

normexp

normexp50

 

none

0.755

0.750

0.750

0.744

0.748

 

LOESS

0.809

0.798

0.807

0.817

0.823

 

composite

0.767

0.785

0.779

0.791

0.788

 

control

0.808

0.832

0.827

0.810

0.802

(3): p < 0.03

 

none

sub

edwards

normexp

normexp50

 

none

0.761

0.750

0.750

0.765

0.754

 

LOESS

0.811

0.822

0.822

0.819

0.816

 

composite

0.781

0.792

0.792

0.780

0.772

 

control

0.802

0.817

0.816

0.802

0.802

(4): p < 0.02

 

none

sub

edwards

normexp

normexp50

 

none

0.765

0.755

0.758

0.748

0.757

 

LOESS

0.840

0.821

0.828

0.823

0.798

 

composite

0.783

0.776

0.776

0.767

0.777

 

control

0.791

0.807

0.809

0.808

0.811

(5): p < 0.01

 

none

sub

edwards

normexp

normexp50

 

none

0.767

0.772

0.776

0.741

0.751

 

LOESS

0.806

0.800

0.800

0.803

0.794

 

composite

0.781

0.773

0.773

0.767

0.760

 

control

0.802

0.816

0.815

0.794

0.791

  1. Each row is for one p-value cutoff point. Within each row, the first column contains a p-value cutoff point; the second column contains a sub-table of 20 numbers corresponding to the AUC measurement results of 20 preprocessing methods. The underlined bold numbers are the top 3 largest numbers in each sub-table of the second column.