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Table 2 Mean ROC values and execution time (in seconds) of various methods on the Ligand Data Set.

From: Adaptive diffusion kernel learning from biological networks for protein function prediction

Algorithm

Mean ROC

Time

uBaseline

0.8346

----

rBaseline

0.8223

----

eBaseline

0.8267

----

DKL

0.8523

165.52

DKLKL

0.8523

665.13

DKL KL u MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaeeiraqKaee4saSKaeeitaW0aa0baaSqaaiabbUealjabbYeambqaaiabbwha1baaaaa@32FA@

0.8365

4406.64

mDKL

0.8542

5.61

mDKLKL

0.8538

12.33

mDKL KL u MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGaeeyBa0MaeeiraqKaee4saSKaeeitaW0aa0baaSqaaiabbUealjabbYeambqaaiabbwha1baaaaa@345B@

0.8213

62.80

Neighbor Counting

0.7010

----

FS-Weighted Averaging

0.7785

----

SM1

0.8162

739.69

  1. rBaseline denotes the baseline method that requires all tasks share a common kernel, uBaseline corresponds to the baseline method without this requirement, and eBaseline denotes the baseline in which all of the candidate kernel matrices are assigned the same weight.
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BMC Bioinformatics

ISSN: 1471-2105

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