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Table 1 Area under the operating characteristic comparison

From: Quadratic variance models for adaptively preprocessing SELDI-TOF mass spectrometry data

Algorithm/Dataset PAUC25 PAUC
LibSELDI/HYBRID1 58.8%
(9.9)
66.1%
(7.1)
MassSpecWavelet/HYBRID1 50.8%
(8.5)
64.9%
(5.9)
LibSELDI/HYBRID2 53.2%
(8.7)
64.1%
(6.1)
MassSpecWavelet/HYBRID2 45.4%
(9.5)
61.3%
(6.9)
  1. Area under the operating characteristic curve in a range of false discovery rate values of interest is a useful way to compare peak prediction performance. We show two partial area under the curve metrics, calculated in the range FDR [0, 50%] (PAUC) and FDR [0, 25%] (PAUC25). PAUC is more of overall measure of peak prediction potential, while PAUC25 focuses on measuring performance at low FDR. The number shown is the average (standard error) calculated from the 50 operating curves from HYBRID1 and HYBRID2. LibSELDI shows particularly appealing PAUC25 performance.