A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data

  title={A new genetic algorithm in proteomics: Feature selection for SELDI-TOF data},
  author={Christelle Reyn{\`e}s and Robert Sabatier and Nicolas Molinari and Sylvain Lehmann},
  journal={Computational Statistics & Data Analysis},
Mass spectrometry from clinical specimens is used in order to identify biomarkers in a diagnosis. Thus, a reliable method for both feature selection and classification is required. A novel method is proposed to find biomarkers in SELDI-TOF in order to perform robust classification.The feature selection is based on a new genetic algorithm. Concerning the classification, a method which takes into account the great variability on intensity by using decision stumps has been developed. Moreover, as… CONTINUE READING


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