Table 3

Evaluation of the univariate method on all datasets
Dataset gene Accuracy Relative accuracy Coverage Earliness F1
H3N2 LOC26010 77.78 85.71 100 38.34 0.6879
HRV RSAD2 42.86 80.00 55.56 52.50 0.4506
Baranzini3A Caspase 10 12.00 100.00 12.25 42.86 0.1983
Baranzini3B Caspase 3 26.09 80.00 31.38 40.26 0.3632
Baranzini6 Caspase 10 12.00 100.00 12.25 42.86 0.1983
Baranzini12 Caspase 3 26.09 80.00 31.38 40.26 0.3632
Lin9 Caspase 3 26.09 80.00 31.38 40.26 0.3632
Costa17 Caspase 3 26.09 80.00 31.38 40.26 0.3632

The univariate method (using the Chebyshev’s inequality as distance threshold method and the weighted recall as utility score method) has been evaluated on each gene on all datasets. The best accuracy is reported.

Ghalwash and Obradovic

Ghalwash and Obradovic BMC Bioinformatics 2012 13:195   doi:10.1186/1471-2105-13-195

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