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Table 4 Results of the SOS dataset by methods with and without parameter sensitivity analysis.

From: Reverse engineering gene regulatory networks: Coupling an optimization algorithm with a parameter identification technique

  lexA uvrA uvrD
  w/o with w/o with w/o with
fitness 1.5778 0.5360 1.8404 0.7447 4.0382 1.3453
sensitivity 0.8355 0.7977 0.8417 0.7838 0.7890 0.7890
  recA umuD polB
  w/o with w/o with w/o with
fitness 3.0527 1.8589 6.0470 4.1333 21.1221 14.6093
sensitivity 0.8669 0.7943 0.8315 0.7841 0.8507 0.7787