Open AccessApplication of the GA/KNN method to SELDI proteomics data
Author(s) -
Leping Li,
David M. Umbach,
Paul Terry,
Jack A. Taylor
Publication year - 2004
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bth098
Subject(s) - proteomics , computer science , documentation , source code , data mining , computational biology , gene , biology , genetics , programming language
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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