Motif-based protein sequence classification using neural networks

dc.contributor.authorBlekas, K.en
dc.contributor.authorFotiadis, D. I.en
dc.contributor.authorLikas, A.en
dc.date.accessioned2015-11-24T17:00:56Z
dc.date.available2015-11-24T17:00:56Z
dc.identifier.issn1066-5277-
dc.identifier.urihttps://olympias.lib.uoi.gr/jspui/handle/123456789/10841
dc.rightsDefault Licence-
dc.subjectprotein sequence classificationen
dc.subjectneural networksen
dc.subjectprobabilistic motifsen
dc.subjectmeme algorithmen
dc.subjectmotif-based featuresen
dc.subjecthidden markov-modelsen
dc.subjecthomologiesen
dc.subjectalignmenten
dc.subjectdatabaseen
dc.subjectsearchen
dc.titleMotif-based protein sequence classification using neural networksen
heal.abstractWe present a system for multi-class protein classification based on neural networks. The basic issue concerning the construction of neural network systems for protein classification is the sequence encoding scheme that must be used in order to feed the neural network. To deal with this problem we propose a method that maps a protein sequence into a numerical feature space using the matching scores of the sequence to groups of conserved patterns (called motifs) into protein families. We consider two alternative ways for identifying the motifs to be used for feature generation and provide a comparative evaluation of the two schemes. We also evaluate the impact of the incorporation of background features (2-grams) on the performance of the neural system. Experimental results on real datasets indicate that the proposed method is highly efficient and is superior to other well-known methods for protein classification.en
heal.accesscampus-
heal.fullTextAvailabilityTRUE-
heal.journalNameJournal of Computational Biologyen
heal.journalTypepeer reviewed-
heal.languageen-
heal.publicationDate2005-
heal.recordProviderΠανεπιστήμιο Ιωαννίνων. Σχολή Θετικών Επιστημών. Τμήμα Μηχανικών Ηλεκτρονικών Υπολογιστών και Πληροφορικήςel
heal.typejournalArticle-
heal.type.elΆρθρο Περιοδικούel
heal.type.enJournal articleen

Αρχεία

Φάκελος/Πακέτο αδειών

Προβολή: 1 - 1 of 1
Φόρτωση...
Μικρογραφία εικόνας
Ονομα:
license.txt
Μέγεθος:
1.74 KB
Μορφότυπο:
Item-specific license agreed upon to submission
Περιγραφή: