Predictability of rules in HIV-1 protease cleavage site analysis

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

doi:10.1007/11758525_111

Predictability of rules in HIV-1 protease cleavage site analysis

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Computational Science - ICCS 2006
Subtitle of host publication	6th International Conference, Proceedings
Publisher	Springer Verlag
Pages	830-837
Number of pages	8
ISBN (Print)	3540343814, 9783540343813
DOIs	https://doi.org/10.1007/11758525_111
Publication status	Published - 2006
Event	ICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom Duration: 2006 May 28 → 2006 May 31

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3992 LNCS - II
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	ICCS 2006: 6th International Conference on Computational Science
Country/Territory	United Kingdom
City	Reading
Period	06/5/28 → 06/5/31

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/11758525_111

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 Computational Science - ICCS 2006: 6th International Conference, Proceedings (pp. 830-837). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3992 LNCS - II). Springer Verlag. https://doi.org/10.1007/11758525_111

Predictability of rules in HIV-1 protease cleavage site analysis. / Kim, Hyeoncheol; Yoon, Tae Sun; Zhang, Yiying et al.
Computational Science - ICCS 2006: 6th International Conference, Proceedings. Springer Verlag, 2006. p. 830-837 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3992 LNCS - II).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, H, Yoon, TS, Zhang, Y, Dikshit, A & Chen, SS 2006, Predictability of rules in HIV-1 protease cleavage site analysis. in Computational Science - ICCS 2006: 6th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3992 LNCS - II, Springer Verlag, pp. 830-837, ICCS 2006: 6th International Conference on Computational Science, Reading, United Kingdom, 06/5/28. https://doi.org/10.1007/11758525_111

Kim H, Yoon TS, Zhang Y, Dikshit A, Chen SS. Predictability of rules in HIV-1 protease cleavage site analysis. In Computational Science - ICCS 2006: 6th International Conference, Proceedings. Springer Verlag. 2006. p. 830-837. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11758525_111

Kim, Hyeoncheol ; Yoon, Tae Sun ; Zhang, Yiying et al. / Predictability of rules in HIV-1 protease cleavage site analysis. Computational Science - ICCS 2006: 6th International Conference, Proceedings. Springer Verlag, 2006. pp. 830-837 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Predictability of rules in HIV-1 protease cleavage site analysis

Abstract

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ASJC Scopus subject areas

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