Table 3

Performances of the two-class PaleAle and PaleAle_H compared with a number of recent methods on the Manesh dataset [39].

Method


PaleAle_H

86.0%

PaleAle

79.2%

NETASA [15]

70.3%

[21]

78.1%

PP [47]

78.1%

PredAcc [11]

70.7%

JNET [13]

75.0%

ACCpro [16]

77.2%

SABLE [17]

77.6%


Performances of the various methods from [21]. The class threshold is 25% for all methods. Templates up to 95% adopted by PaleAle_H.

Pollastri et al. BMC Bioinformatics 2007 8:201   doi:10.1186/1471-2105-8-201

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