Support Vector Machine Approach to Separate Control and Breast Cancer Serum Samples

Pham Thang V, A van de Wiel Mark and Jimenez Connie R
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Pham Thang V: Vrije Universiteit Medical Center
A van de Wiel Mark: Vrije Universiteit Medical Center
Jimenez Connie R: Vrije Universiteit Medical Center

Statistical Applications in Genetics and Molecular Biology, 2008, vol. 7, issue 2, 11

Abstract: The paper presents two analyzes of the MALDI-TOF mass spectrometry dataset. Both analyzes use the support vector machine as a tool to build a prediction model. The first analysis which is our contribution to the competition uses the given spectra data without further processing. In the second analysis, we employed an additional preprocessing step consisting of peak detection, peak alignment and feature selection based on statistical tests. The experimental results suggest that the preprocessing step with feature selection improves prediction accuracy.

Keywords: classification; MALDI-TOF; proteomics; support vector machine (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (1)

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DOI: 10.2202/1544-6115.1355

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