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- W2099018091 abstract "In this paper, we present a method for predictive profiling of mass spectrometry data. The method integrates a spectra preprocessing pipeline with a complete validation setup aimed at identifying the discriminating peaks and at providing an unbiased estimate of the predictive classification error, based on SVM classifiers and on Entropy-based RFE procedure. A particular emphasis is placed upon avoiding selection bias effects throughout all the analysis steps, from preprocessing to peak importance ranking." @default.
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- W2099018091 date "2006-01-01" @default.
- W2099018091 modified "2023-10-01" @default.
- W2099018091 title "Proteome Profiling without Selection Bias" @default.
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- W2099018091 doi "https://doi.org/10.1109/cbms.2006.134" @default.
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