Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/10407
Title: Proteomic mass spectra classification for biomarker discovery in prostate cancer ,employing pattern recognition techniques
Authors: Μπουγιούκος, Παναγιώτης
Κάβουρας, Διονύσης Α.
Δασκαλάκης, Αντώνης
Κωστόπουλος, Σπυρίδων
Καλατζής, Ιωάννης
Contributors: Νικηφορίδης, Γεώργιος Σ.
Μπεζεριάνος, Αναστάσιος
Item type: Conference publication
Conference Item Type: Full Paper
Keywords: Classification;Biomarker selection;Ταξινόμηση;Επιλογή βιοδείκτη
Subjects: Medicine
Biomedical engineering
Ιατρική
Βιοϊατρική τεχνολογία
Issue Date: 14-May-2015
2007
Date of availability: 14-May-2015
Abstract: The purpose of the present study was the proposal of novel biomarkers in prostate cancer by analyzing mass spectrometry profiles. The latter were obtained from the National Cancer Institute Clinical Proteomics Database. The proposed method applied first a pre-processing pipeline of smoothing, automatic noise estimation, peak detection, and peak alignment, for improving the choice of information reach biomarkers and, second, a two level hierarchical tree structure classification scheme, where at each level a PNN classifier was optimally designed. At the first level, normal cases were discriminated by the PNN from cases with prostate cancer of PSA≥4 and, at the second level, distinction was made by the PNN between cancerous cases with 4≤PSA<10 and PSA>10. Maximum classification accuracies were 97.7% and 95.6% respectively. These high accuracies were achieved by a set of information reach biomarkers, which included the 2068.8m/z, 4675.6 m/z, and 5824.5 m/z values that have been associated with prostate cancer.
Language: English
Citation: Bougioukos, P., Cavouras, D., Daskalakis, A., Kostopoulos, S., Kalatzis, I., et al. (2007). Proteomic mass spectra classification for biomarker discovery in prostate cancer ,employing pattern recognition techniques. In the 2nd International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization (2nd IC-EpsMso). Greece, Athens, 4th-7th July 2007. Available from: http://www.bme.teiath.gr/medisp/pdfs/BOUGIOUKOS_2007_EpsMso_Proteomic%20Mass%20Spectra.pdf
Conference: International Conference on Experiments/ Process/ System Modelling/ Simulation/ Optimization
Access scheme: Publicly accessible
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/10407
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