Table 3 |
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|
Leave-one-out validationa |
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| Protein |
Specificity (%) |
Sensitivity (%) |
Diagnostic accuracyb (%) |
|
|
|||
| ASB-9 |
64.7 |
58.5 |
61.8 |
| SERAC1 |
70.6 |
52.9 |
61.7 |
| RELT |
76.5 |
64.7 |
70.6 |
| Three combined |
82.8 |
77.0 |
79.9 |
|
|
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|
aOne sample was removed from the statistical model containing a total of 174 samples and a classifier was generated to predict the status (normal or patient) of the removed sample using the rest of the samples. This procedure was repeated for all samples. bDiagnostic accuracy = (number of true positive + number of true negative)/total number of samples. |
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|
Zhong et al. Breast Cancer Research 2008 10:R40 doi:10.1186/bcr2091 |
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