Unsupervised Integration of Multiple Protein Disorder Predictors: The Method and Evaluation on CASP7, CASP8 and CASP9 Data

Table 2 CASP8 evaluation scores on labeled data.

Predictor Name	Institution	ACC	S_w	AUC
MAP-ML		0.843	0.686	0.922
GS-MetaServer2	IIMCB in Warsaw, Poland	0.831	0.662	0.908
Majority-Voting		0.826	0.651	0.856
McGuffin	University of Reading, UK	0.822	0.644	0.908
mariner1	George Mason University, USA	0.811	0.621	0.886
MULTICOM	University of Missouri, USA	0.809	0.619	0.918
CBRC POODLE	CBRC, Japan	0.794	0.588	0.895
DISOPRED	University College London, UK	0.792	0.583	0.876
CaspIta	University of Padova, Italy	0.790	0.579	0.891
OnD-CRF	Umea University, Sweden	0.786	0.572	0.848
metaprdos	University of Tokyo, Japan	0.760	0.520	0.871
Distill-Punch1	UCD Dublin, Ireland	0.756	0.513	0.843
Oka	IPR RAS, Russia	0.755	0.509	0.768
Biomine	University of Alberta, Canada	0.731	0.461	0.840
LEE	KIAS, Korea	0.724	0.447	0.837

ISSN: 1477-5956