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Table 4 Extracted features for thematic test sets, methods and feature size

From: Annotation-based feature extraction from sets of SBML models

5 Features

Method 2

Method 4

 

CC

APOP

CA

NFKB

CC

APOP

CA

NFKB

 

8152

3674

3674

3674

22411

5515

5217

5515

 

9987

5575

9987

8152

30163

30693

5829

6886

GO

44699

8152

44699

9987

51726

44257

6816

22607

 

65007

9987

51234

44699

65009

65003

15085

44257

 

71840

71840

65007

71840

71822

71822

51480

71822

avg depth

2.0

1.6

1.8

1.8

4.4

4.2

8.2

4.6

15 Features

Method 2

Method 4

 

CC

APOP

CA

NFKB

CC

APOP

CA

NFKB

 

3674

3824

3824

3674

216

2090

5217

5515

 

5575

5488

4872

5575

4693

5575

5783

5634

 

6807

5575

5215

6807

5575

16265

5829

6886

 

9056

9056

5488

9056

22411

30693

6816

16563

 

9058

9987

5575

9058

30163

31264

15085

22607

 

40007

30234

7204

44237

32268

43027

17111

44257

 

44237

32501

22411

44238

45750

44257

38023

71822

GO

44238

44238

32469

44699

51726

65003

51480

 
 

44699

44699

44237

44710

65009

71822

  
 

50896

50896

50789

50896

71822

   
 

51234

51234

51234

51234

    
 

65007

65007

51481

65007

    
 

71704

71704

51716

71704

    
 

71840

71840

60089

71840

    
   

65009

     

avg depth

2.2

2.1

4.0

2.4

4.1

4.2

7.0

4.3

  1. The upper table shows a maximum of five features, the bottom table a maximum of 15 features, respectively. IDs are shortened (e.g. GO:00003674 is represented by 3674) and ordered ascending (Additional file 3).