Assessing effects of pre-processing mass spectrometry data on classification performance.

Abstract

Disease prediction through mass spectrometry (MS) data is gaining importance in medical diagnosis. Particularly in cancerous diseases, early prediction is one of the most life saving stages. High dimension and the noisy nature of MS data requires a two-phase study for successful disease prediction; first, MS data must be pre- processed with stages such as… (More)
DOI: 10.1255/ejms.938

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Cite this paper

@article{Ozcift2008AssessingEO, title={Assessing effects of pre-processing mass spectrometry data on classification performance.}, author={Akin Ozcift and Arif Gulten}, journal={European journal of mass spectrometry}, year={2008}, volume={14 5}, pages={267-73} }