Application of the GA/KNN method to SELDI proteomics data.
other · Level V
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Abstract
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. The source code of the program and documentation on how to use it are freely available to non-commercial users at http://dir.niehs.nih.gov/dirbb/lifiles/softlic.htm
Medical subject headings
- Algorithms
- Biomarkers
- Neoplasm Proteins
- Ovarian Neoplasms
- Proteome
- Proteomics
- Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization