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Table 3 Multi-location prediction results on the No-PROSITE-GO, No-PROSITE, and No-GO versions of the dataset, averaged over 25 runs of 5-fold cross-validation, for the combined set of single- and multi-localized proteins, using our system

From: Protein (multi-)location prediction: using location inter-dependencies in a probabilistic framework

 

Dataset

F 1

F1-label

Acc

SVMs (without using dependencies)

No-PROSITE-GO

0.75 (± 0.04)

0.66 (± 0.02)

0.70 (± 0.04)

Our system (using dependencies)

No-PROSITE-GO

0.78 (± 0.05)

0.72 (± 0.07)

0.73 (± 0.05)

SVMs (without using dependencies)

No-PROSITE

0.77 (± 0.01)

0.66 (± 0.02)

0.72 (± 0.01)

Our system (using dependencies)

No-PROSITE

0.80 (± 0.01)

0.75 (± 0.02)

0.75 (± 0.01)

SVMs (without using dependencies)

No-GO

0.76 (± 0.03)

0.67 (± 0.03)

0.71 (± 0.03)

Our system (using dependencies)

No-GO

0.79 (± 0.04)

0.72 (± 0.08)

0.74 (± 0.04)

  1. The table shows the F1 score, the F1-label score, and the overall accuracy (Acc) obtained from SVMs without using location inter-dependencies and from our system, which uses location inter-dependencies. Standard deviations are shown in parentheses.