Feature extraction in the analysis of proteomic mass spectra

Proteomics
Xuena WangJoseph Mitchell

Abstract

Feature extraction or biomarker selection is a critical step in disease diagnosis and knowledge discovery based on protein MS. Many studies have discussed the classification methods applied in proteomics; however, few could be found to address feature extraction in detail. In this paper, we developed a systematic approach for the extraction of mass spectrum peak apex and peak area with special emphasis on noise filtration and peak calibration. Application to a head and neck cancer data generated at the Eastern Virginia Medical School [Wadsworth, J. T., Somers, K. D., Cazares, L. H., Malik, G. et al.., Clin. Cancer Res. 2004, 10, 1625-1632] revealed that the new feature extraction method would yield consistent and highly discriminatory biomarkers.

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Citations

Nov 14, 2006·Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences·Ana Villar-GareaAxel Imhof
Jan 3, 2007·Journal of Mass Spectrometry : JMS
Feb 13, 2013·International Journal of Proteomics·Xianyin LaiFrank A Witzmann
Feb 1, 2009·Proteomics. Clinical Applications·Blanca LumbrerasIldefonso Hernández-Aguado
Mar 15, 2012·Journal of Computational Biology : a Journal of Computational Molecular Cell Biology·Sébastien Li-Thiao-Té, Benno Schwikowski
Feb 26, 2008·Proteomics·Mathias VandenbogaertBenno Schwikowski
May 1, 2019·Applied Microbiology and Biotechnology·Évelin F WigmannLudwig Niessen
Nov 1, 2006·World Journal of Gastroenterology : WJG·M E de NooL H Bouwman

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