Discovering cancer genes by integrating network and functional properties

BMC Medical Genomics

Table 4 Area under ROC (AUC) for feature selections and classifiers

Feature selection	SVM	Naïve Bayes	Logistic regression
PPI	0.767	0.758	0.773
GO	0.830	0.824	0.806
Pfam	0.706	0.697	0.703
Sequence (gene + protein length)	0.592	0.619	0.618
Conservation (Ka + Ka/Ks)	0.580	0.571	0.591
GO + Pfam	0.848	0.826	0.826
GO + Pfam + Sequence	0.858	0.829	0.831
GO + Pfam + Conservation	0.850	0.826	0.828
GO + Pfam + Sequence + Conservation	0.860	0.829	0.837
PPI + GO + Pfam	0.884	0.843	0.858
PPI + GO + Pfam + Sequence	0.892	0.846	0.859
PPI + GO + Pfam + Conservation	0.886	0.843	0.859
PPI + GO + Pfam + Sequence + Conservation	0.896	0.846	0.861

ISSN: 1755-8794