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Table 9 Results by GA-PSO

From: Inferring robust gene networks from expression data by a sensitivity-based incremental evolution method

 

lexA

uvrA

uvrD

Setting

1

2

1

2

1

2

Avg

1.5778

0.5360

1.8404

0.7447

4.0382

1.3453

Best

0.6302

0.4084

1.1121

0.5333

1.6084

1.2191

Worst

1.9917

0.9554

2.1375

1.2190

7.4100

1.5640

SD

0.4145

0.1974

0.3572

0.2084

2.1226

0.1130

Sensitivity

0.8355

0.7977

0.8417

0.7838

0.7890

0.7890

 

recA

umuD

polB

Setting

1

2

1

2

1

2

Avg

3.0527

1.8589

6.0470

4.1333

21.1221

14.6093

Best

2.4037

0.9570

3.9336

3.9694

16.4665

10.7421

Worst

3.8859

2.2015

7.4803

4.5852

25.3341

16.6921

SD

0.5531

0.4623

1.0923

0.1756

2.7867

2.0940

Sensitivity

0.8669

0.7943

0.8315

0.7841

0.8507

0.7787

  1. Results obtained by the GA-PSO algorithm with two settings.