Predictability of rules in HIV-1 protease cleavage site analysis

Hyeoncheol Kim, Tae Sun Yoon, Yiying Zhang, Anupam Dikshit, Su Shing Chen

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

4 Citations (Scopus)

Abstract

Symbolic rules play an important role in HIV-1 protease cleavage site prediction. Recently, some studies have done on extraction of the prediction rules with some success. In this paper, we demonstrated a decompositional approach for rule extraction from nonlinear neural networks. We also compared the prediction rules to the ones extracted by other approaches and methods. Empirical experiments are also shown.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages830-837
Number of pages8
Volume3992 LNCS - II
Publication statusPublished - 2006 Aug 7
EventICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom
Duration: 2006 May 282006 May 31

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3992 LNCS - II
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherICCS 2006: 6th International Conference on Computational Science
CountryUnited Kingdom
CityReading
Period06/5/2806/5/31

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Kim, H., Yoon, T. S., Zhang, Y., Dikshit, A., & Chen, S. S. (2006). Predictability of rules in HIV-1 protease cleavage site analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3992 LNCS - II, pp. 830-837). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3992 LNCS - II).