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Mass spectrometry technique is a revolutionary tool for diagnosing early stage cancer by analyzing protein mass spectra, and for detecting biomarkers. But because of the high dimensionality of the data, feature selection is a necessary procedure before classification and analysis. In this paper we present a genetic algorithm for feature selection for prostate protein mass spectrometry data. An elitism...
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