Feature extraction and analysis of prostate cancer proteomic mass spectra for biomarker discovery

dc.contributor.author	Μπουγιούκος, Παναγιώτης	el
dc.contributor.author	Κάβουρας, Διονύσης Α.	el
dc.contributor.author	Δασκαλάκης, Αντώνης	el
dc.contributor.author	Κοσσίδα, Σοφία	el
dc.contributor.author	Νικηφορίδης, Γεώργιος Σ.	el
dc.date.accessioned	2015-05-14T16:35:46Z
dc.date.available	2015-05-14T16:35:46Z
dc.date.issued	2015-05-14
dc.identifier.uri	http://hdl.handle.net/11400/10393
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://www.bme.teiath.gr/medisp/pdfs/BOUGIOUKOS_2006_ITAB_Feature%20extraction.pdf	en
dc.subject	Biomarkers
dc.subject	Cancer
dc.subject	Βιοδείκτες
dc.subject	Καρκίνος
dc.title	Feature extraction and analysis of prostate cancer proteomic mass spectra for biomarker discovery	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Biomedical engineering
heal.classification	Τεχνολογία
heal.classification	Βιοϊατρική τεχνολογία
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85014237
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Βιοϊατρική τεχνολογία
heal.keywordURI	http://lod.nal.usda.gov/17262
heal.keywordURI	http://zbw.eu/stw/descriptor/18899-3
heal.contributorName	Μπεζεριάνος, Αναστάσιος	el
heal.language	en
heal.access	free
heal.recordProvider	Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2006
heal.bibliographicCitation	Bougioukos, P., Cavouras, D., Daskalakis, A., Kossida, S., Nikiforidis, G., et al. (2006). Feature extraction and analysis of prostate cancer proteomic mass spectra for biomarker discovery. In the International Special Topic Conference on Information Technology in Biomedicine (I.T.A.B. 2006). Ioannina ,Greece, 26th-28th October 2006. Available from: http://www.bme.teiath.gr/medisp/pdfs/BOUGIOUKOS_2006_ITAB_Feature%20extraction.pdf	en
heal.abstract	Early detection of cancer is a critical issue for improving patient survival rates. Recent progress in mass spectrometry has shown the promising potential of biomarker discovery in the diagnosis of diseases especially in early stages. In the present study, an alternative approach to feature extraction from mass spectrometry data of prostate cancer is proposed that results in the definition of different biomarkers. The latter provide information rich features that improve the performance of an MLP classifier in differentiating among datasets with different PSA levels of prostate cancer and with no evidence of disease. Prostate cancer dataset was collected from the National Cancer Institute Clinical Proteomics Database. The overall accuracy, in correctly classifying 63 spectra with no evidence of disease (PSA<1) and 69 spectra with prostate cancer (PSA≥4), was 95%. Furthermore 93% was the classification overall accuracy in discriminating 26 spectra of prostate cancer with (4 PSA<10) from 43 spectra of prostate cancer with (PSA>10). The high accuracies obtained by the proposed method might lead to informative biomarkers for early stage of prostate cancer diagnosis.	en
heal.fullTextAvailability	true
heal.conferenceName	International Special Topic Conference on Information Technology in Biomedicine	en
heal.conferenceItemType	full paper