期刊
BIOINFORMATICS
卷 20, 期 10, 页码 1638-1640出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bth098
关键词
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Proteomics technology has shown promise in identifying biomarkers for disease, toxicant exposure and stress. We show by example that the genetic algorithm/k-nearest neighbors method, developed for mining high-dimensional microarray gene expression data, is also capable of mining surface enhanced laser desorption/ionization-time-of-flight proteomics data.
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