Discrimination of Outer Membrane Proteins using Reformulated Support Vector Machine based on Neutrosophic Set
Wen Ju1, H. D. Cheng
1Department of Computer Science, Utah State University
Available Online December 2008.
- 10.2991/jcis.2008.77How to use a DOI?
- Neutrosophic set, reformulated support vector machine, outer membrane proteins (OMPs)
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.
- © 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 -