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Table 4 Ovarian cancer T.stat measurement table

From: Preprocessing differential methylation hybridization microarray data

(1): p < 0.05

 

none

sub

edwards

normexp

normexp50

 

none

4.451

4.618

4.618

4.033

4.406

 

LOESS

5.834

5.968

6.055

5.629

5.605

 

composite

5.138

5.159

5.159

5.112

5.311

 

control

5.834

6.166

6.083

5.703

5.623

(2): p < 0.04

 

none

sub

edwards

normexp

normexp50

 

none

4.489

4.629

4.629

4.249

4.348

 

LOESS

5.814

5.734

5.828

5.501

5.538

 

composite

5.157

5.385

5.261

5.177

5.059

 

control

5.738

6.193

6.106

5.627

5.440

(3): p < 0.03

 

none

sub

edwards

normexp

normexp50

 

none

4.645

4.548

4.548

4.589

4.452

 

LOESS

5.681

5.890

5.890

5.618

5.532

 

composite

5.316

5.491

5.491

4.977

4.885

 

control

5.657

5.803

5.781

5.554

5.520

(4): p < 0.02

 

none

sub

edwards

normexp

normexp50

 

none

4.761

4.614

4.652

4.389

4.560

 

LOESS

5.758

5.862

5.888

5.503

5.128

 

composite

5.315

5.255

5.242

4.848

4.953

 

control

5.621

5.873

5.912

5.602

5.627

(5): p < 0.01

 

none

sub

edwards

normexp

normexp50

 

none

4.834

4.662

4.699

4.196

4.298

 

LOESS

5.330

5.416

5.416

5.033

4.903

 

composite

5.304

5.114

5.126

4.769

4.559

 

control

5.736

5.924

5.893

5.381

5.371

  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 T.stat measurement results of 20 preprocessing methods. The underlined bold numbers are the top 3 largest numbers in each sub-table of the second column.