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test true<br />

c<br />

positive positive sensitivity specificity p-value<br />

StoneHinge 1204 42 0.28 0.91 2.7E-11<br />

HingeSeq 771 13 0.09 0.94 0.11<br />

TLSMD 455 30 0.20 0.97 4.8E-15<br />

hNMa 1279 37 0.24 0.91 8.7E-08<br />

hNMb 126 31 0.20 0.99 3.2E-33<br />

hNMc 517 26 0.17 0.96 1.7E-10<br />

hNMd 1545 49 0.32 0.89 1.1E-11<br />

hNMe 235 35 0.23 0.99 2.0e-29<br />

FO1 563 8 0.05 0.96 0.32<br />

FO1M 292 14 0.09 0.98 6.6E-06<br />

FO 272 62 0.41 0.98 9.2E-66<br />

Table 4.3: Performance of the predictors against the Hinge Atlas Gold annotation.<br />

Test positives are predicted hinge locations. hNM1 and FO1 give continuous (rather than<br />

discrete) output, normalized to range from 0 to 1 for each protein. Therefore for hNM1<br />

and FO1 we took values below .02 and 0.1, respectively, as test positives. For HingeSeq<br />

we took values above 0.4 as test positives. here were a total of 13259 residues in the<br />

HAG, of which 152(13107) were Gold Standard Positives(Negatives). Therefore for the<br />

example of StoneHinge, sensitivity was calculated as 42/152=0.28 and specificity was<br />

(13259-1204)/13107=0.91. For the same example, p-value was computed as the<br />

probability of finding 42 or more true positive residues in a set of 1204 residues selected<br />

randomly and without replacement from a set of 13259, using the cumulative<br />

hypergeometric distribution.<br />

233

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