Using recurrence quantification analysis descriptors for protein sequence classification with support vector machines.

Abstract:

:In this work, we integrate a non-linear signal analysis method, recurrence quantification analysis (RQA), with the well-known machine-learning algorithm, support vector machines for the binary classification of protein sequences. Two different classification problems were selected, discriminating between aggregating and non-aggregating proteins and mostly disordered and completely ordered proteins, respectively. It has also been shown that classification performance of SVM models improve on selection of the most informative RQA descriptors as SVM input features.

journal_name

J Biomol Struct Dyn

authors

Mitra J,Mundra P,Kulkarni BD,Jayaraman VK

doi

10.1080/07391102.2007.10507177

subject

Has Abstract

pub_date

2007-12-01 00:00:00

pages

289-98

issue

3

eissn

0739-1102

issn

1538-0254

pii

d=3028&c=4243&p=16235&do=detail

journal_volume

25

pub_type

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