Table 3

AUC and elapsed time in the Fischer data set.

95% confidence interval

Method

Platform

Restarts

Elapsed time

AUC

standard error

lower

upper


SHEBA

CPU

-

03 m 47 s

0.877

0.016

0.845

0.909

DaliLite

CPU

-

113 m 34 s

0.876

0.016

0.845

0.908

LOCK2

CPU

-

32 m 12 s

0.874

0.016

0.842

0.907

IR Tableau

CPU

-

< 1 s

0.859

0.015

0.830

0.888

QP Tableau Search

CPU

-

52 m 10 s

0.848

0.018

0.813

0.882

SA Tableau Search

CPU

4096

12 m 07 s

0.837

0.018

0.801

0.872

SA Tableau Search

Tesla C1060

4096

00 m 55 s

0.836

0.018

0.800

0.871

SA Tableau Search

GTX 285

4096

00 m 40 s

0.829

0.018

0.792

0.865

SA Tableau Search

CPU

128

00 m 25 s

0.822

0.019

0.786

0.859

SA Tableau Search

GTX 285

128

00 m 02 s

0.809

0.019

0.771

0.846

SA Tableau Search

Tesla C1060

128

00 m 02 s

0.804

0.019

0.767

0.842

SARF2

CPU

-

19 m 34 s

0.797

0.020

0.759

0.835

YAKUSA

CPU

-

00 m 02 s

0.741

0.021

0.700

0.782

TOPS

CPU

-

01 m 05 s

0.692

0.022

0.649

0.734

TableauSearch

CPU

-

< 1 s

0.662

0.022

0.619

0.705

VAST

CPU

-

02 m 33 s

0.600

0.022

0.557

0.643


Area under the ROC curve (AUC) and elapsed time for different methods for all-against-all comparisons in the Fischer data set. The table is sorted by AUC descending. In the Platform column, either a GPU card is described, or CPU, which is a single core of an AMD Quad Core Opteron (2.3 GHz, 32 GB RAM) running Linux.

Stivala et al. BMC Bioinformatics 2010 11:446   doi:10.1186/1471-2105-11-446

Open Data