Gene classification using an improved SVM classifier with soft decision boundary

Boyang Li, Liangpeng Ma, Takayuki Furuzuki, Kotaro Hirasawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

One of the central problems of functional genomics is gene classification. Microarray data are currently a major source of information about the functionality of genes. Various mathematical techniques, such as neural networks (NNs), self-organizing map (SOM) and several statistical methods, have been applied to classify the data in attempts to extract the underlying knowledge. As for conventional classification, the problem mainly addressed so far has been how to classify the multi-label gene data and how to deal with the imbalance problem. In this paper, we proposed an improved support vector machine (SVM) classifier with soft decision boundary. This boundary is a classification boundary based on belief degrees of data. The boundary can reflect the distribution of data, especially in the mutual part between classes and the excursion caused by the data imbalance.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages2476-2480
Number of pages5
DOIs
Publication statusPublished - 2008
EventSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo
Duration: 2008 Aug 202008 Aug 22

Other

OtherSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
CityTokyo
Period08/8/2008/8/22

Fingerprint

Support vector machines
Classifiers
Genes
Self organizing maps
Microarrays
Labels
Statistical methods
Neural networks
Genomics

Keywords

  • Data imbalance
  • Gene classification
  • Multi-label gene data
  • Soft decision-making boundary
  • SVM

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Li, B., Ma, L., Furuzuki, T., & Hirasawa, K. (2008). Gene classification using an improved SVM classifier with soft decision boundary. In Proceedings of the SICE Annual Conference (pp. 2476-2480). [4655081] https://doi.org/10.1109/SICE.2008.4655081

Gene classification using an improved SVM classifier with soft decision boundary. / Li, Boyang; Ma, Liangpeng; Furuzuki, Takayuki; Hirasawa, Kotaro.

Proceedings of the SICE Annual Conference. 2008. p. 2476-2480 4655081.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Li, B, Ma, L, Furuzuki, T & Hirasawa, K 2008, Gene classification using an improved SVM classifier with soft decision boundary. in Proceedings of the SICE Annual Conference., 4655081, pp. 2476-2480, SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology, Tokyo, 08/8/20. https://doi.org/10.1109/SICE.2008.4655081
Li B, Ma L, Furuzuki T, Hirasawa K. Gene classification using an improved SVM classifier with soft decision boundary. In Proceedings of the SICE Annual Conference. 2008. p. 2476-2480. 4655081 https://doi.org/10.1109/SICE.2008.4655081
Li, Boyang ; Ma, Liangpeng ; Furuzuki, Takayuki ; Hirasawa, Kotaro. / Gene classification using an improved SVM classifier with soft decision boundary. Proceedings of the SICE Annual Conference. 2008. pp. 2476-2480
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