Table 2

Overall ranking in terms of discriminant ability.

Type

avg. assigns.

avg. Sp

avg. Sn

Discriminant ability


OFDEG+GC (CP = 55%)

semi-supervised

63.65%

0.9400

0.9950

0.9675

OFDEG+GC

unsupervised

97.33%

0.9513

0.9525

0.9519

TF (CP = 75%)

semi-supervised

83.44%

0.9925

0.8925

0.9425

OFDEG+GC (CP = 75%)

semi-supervised

77.75%

0.8000

0.9625

0.8813

TF (CP = 55%)

semi-supervised

69.28%

1.0000

0.7450

0.8725

OFDEG

unsupervised

97.34%

0.9100

0.8300

0.8700

TF

unsupervised

97.34%

0.9905

0.6565

0.8235


Discriminant ability is given by the average of the sensitivity (Sn) and specificity (Sp) values. In this case, we take the average of the average specificity and sensitivity over all tests conducted. We see that both the unsupervised and semi-supervised methods which use OFDEG+GC as a feature space perform best overall with respect to the simMC tests. Though the semi-supervised method outperforms the unsupervised method, the average number of assignments made by the unsupervised variant is far greater.

Saeed and Halgamuge BMC Genomics 2009 10(Suppl 3):S10   doi:10.1186/1471-2164-10-S3-S10

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