Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

Discrimination of Outer Membrane Proteins using Reformulated Support Vector Machine based on Neutrosophic Set

Authors
Wen Ju1, H. D. Cheng
1Department of Computer Science, Utah State University
Corresponding Author
Wen Ju
Available Online December 2008.
DOI
10.2991/jcis.2008.77How to use a DOI?
Keywords
Neutrosophic set, reformulated support vector machine, outer membrane proteins (OMPs)
Abstract

Neutrosophic logic is introduced in 1995 as a generalization of fuzzy logic. It includes a new component as neutralities. In this paper, we propose a novel neutronsophic set for SVM inputs and combine it with the reformulated SVM which treats samples differently according to the weighting function. The proposed classifier helps reducing the effects of outliers. We test it on discriminating outer membrane proteins (OMPs) from globular proteins and α-helical membrane proteins using amino acid composition and residue pair information. The experiment results show that the proposed method outperforms the traditional SVM in both classification accuracy and MCC.

Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
10.2991/jcis.2008.77
ISSN
1951-6851
DOI
10.2991/jcis.2008.77How to use a DOI?
Copyright
© 2008, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Wen Ju
AU  - H. D. Cheng
PY  - 2008/12
DA  - 2008/12
TI  - Discrimination of Outer Membrane Proteins using Reformulated Support Vector Machine based on Neutrosophic Set
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 452
EP  - 457
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.77
DO  - 10.2991/jcis.2008.77
ID  - Ju2008/12
ER  -