Table 9 |
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|
Results by GA-PSO |
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|
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 |
|
|
||||||
|
Results obtained by the GA-PSO algorithm with two settings. |
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|
Hsiao and Lee BMC Bioinformatics 2012 13(Suppl 7):S8 doi:10.1186/1471-2105-13-S7-S8 |
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