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 Dynjournal_title
Journal of biomolecular structure & dynamicsauthors
Mitra J,Mundra P,Kulkarni BD,Jayaraman VKdoi
10.1080/07391102.2007.10507177subject
Has Abstractpub_date
2007-12-01 00:00:00pages
289-98issue
3eissn
0739-1102issn
1538-0254pii
d=3028&c=4243&p=16235&do=detailjournal_volume
25pub_type
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