A hybrid model for prediction of peptide binding to MHC molecules

Ping Zhang; Vladimir Brusic; Kaye Basford

doi:10.1007/978-3-642-02490-0_65

A hybrid model for prediction of peptide binding to MHC molecules

Ping Zhang, Vladimir Brusic, Kaye Basford

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

Abstract

We propose a hybrid classification system for predicting peptide binding to major histocompatibility complex (MHC) molecules. This system combines Support Vector Machine (SVM) and Stabilized Matrix Method (SMM). Its performance was assessed using ROC analysis, and compared with the individual component methods using statistical tests. The preliminary test on four HLA alleles provided encouraging evidence for the hybrid model. The datasets used for the experiments are publicly accessible and have been benchmarked by other researchers.

Original language	English
Title of host publication	Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Pages	529-536
Number of pages	8
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-02490-0_65
Publication status	Published - 2009
Externally published	Yes
Event	15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, New Zealand Duration: 25 Nov 2008 → 28 Nov 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5506 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Neuro-Information Processing, ICONIP 2008
Country/Territory	New Zealand
City	Auckland
Period	25/11/08 → 28/11/08

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-02490-0_65

Cite this

Zhang, P., Brusic, V., & Basford, K. (2009). A hybrid model for prediction of peptide binding to MHC molecules. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers (PART 1 ed., pp. 529-536). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5506 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-02490-0_65

Zhang, Ping ; Brusic, Vladimir ; Basford, Kaye. / A hybrid model for prediction of peptide binding to MHC molecules. Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1. ed. 2009. pp. 529-536 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "A hybrid model for prediction of peptide binding to MHC molecules",

abstract = "We propose a hybrid classification system for predicting peptide binding to major histocompatibility complex (MHC) molecules. This system combines Support Vector Machine (SVM) and Stabilized Matrix Method (SMM). Its performance was assessed using ROC analysis, and compared with the individual component methods using statistical tests. The preliminary test on four HLA alleles provided encouraging evidence for the hybrid model. The datasets used for the experiments are publicly accessible and have been benchmarked by other researchers.",

author = "Ping Zhang and Vladimir Brusic and Kaye Basford",

year = "2009",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Zhang, P, Brusic, V & Basford, K 2009, A hybrid model for prediction of peptide binding to MHC molecules. in Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5506 LNCS, pp. 529-536, 15th International Conference on Neuro-Information Processing, ICONIP 2008, Auckland, New Zealand, 25/11/08. https://doi.org/10.1007/978-3-642-02490-0_65

A hybrid model for prediction of peptide binding to MHC molecules. / Zhang, Ping; Brusic, Vladimir; Basford, Kaye.
Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1. ed. 2009. p. 529-536 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5506 LNCS, No. PART 1).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Zhang P, Brusic V, Basford K. A hybrid model for prediction of peptide binding to MHC molecules. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1 ed. 2009. p. 529-536. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-02490-0_65

A hybrid model for prediction of peptide binding to MHC molecules

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