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Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12128/3107
Title: Use of a novel grammatical inference approach in classification of amyloidogenic hexapeptides
Authors: Wieczorek, Wojciech
Unold, Olgierd
Keywords: Algorithms; Amyloid; Correlation coefficient; Bioinformatics; Humans; Peptides; Factual Databases
Issue Date: 2016
Citation: Computational and Mathematical Methods in Medicine, 2016, iss. 3/9, art. ID 1782732, s. 1-8
Abstract: The present paper is a novel contribution to the field of bioinformatics by using grammatical inference in the analysis of data. We developed an algorithm for generating star-free regular expressions which turned out to be good recommendation tools, as they are characterized by a relatively high correlation coefficient between the observed and predicted binary classifications. The experiments have been performed for three datasets of amyloidogenic hexapeptides, and our results are compared with those obtained using the graph approaches, the current state-of-the-art methods in heuristic automata induction, and the support vector machine. The results showed the superior performance of the new grammatical inference algorithm on fixed-length amyloid datasets.
URI: http://hdl.handle.net/20.500.12128/3107
DOI: 10.1155/2016/1782732
ISSN: 1748-670X
Appears in Collections:Artykuły (WNŚiT)

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