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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).