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Performance of each marker was assessed by AU-ROC curve.
We then tested the performance of each marker in clustering data into MOTUs.
For markers that graduated to the largest sample set, we evaluated the performance of each marker individually and in combinations of two or three for their ability to detect clinically diagnosed ovarian cancer.
The areas under the curves (AUCs) were calculated to compare the diagnostic performance of each marker.
The performance of each marker is set out in Table 4.
We believe the performance of each marker in different studies is closely related to the characteristics of the study subjects.
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In comparison with the performance of each single marker alone (Fig. 5), these data imply that in combination the sensitivity and specificity of the markers can be improved.
The performance of each SSR marker across the 23 Apiaceae accessions is presented in Additional File 1 - Table S4.
Details on the performance of each SSR marker in the different mapping populations are presented in Additional File 1 - Table S2.
Performances of each single marker (leukocytes, thrombocytes, C5, HP, SPHK1, and the routinely used laboratory parameters CRP and PCT) were compared with respect to various outcomes (sepsis, nosocomial infections, mortality) and time points of assessment (day 0, day 1, all days; Fig. 5).
The performance of each of the markers, as well as that of ROMA, was analysed.
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