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Matsuno Hiroshi

Affiliate Master Yamaguchi University

Performance Improvement in Protein N-Myristoyl Classification by BONSAI with Insignificant Indexing Symbol

Genome informatics Volume 18 Issue 1 Page 277-286
published_at 2007
2007020134.pdf
[fulltext] 336 KB
Title
Performance Improvement in Protein N-Myristoyl Classification by BONSAI with Insignificant Indexing Symbol
Creators Sugii Manabu
Creators Okada Ryo
Creators Matsuno Hiroshi
Creators Miyano Satoru
Creator Keywords
N-myristoylation machine learning alphabet indexing protein classification
Many N-myristoylated proteins play key roles in regulating cellular structure and function. In the previous study, we have applied the machine learning system BONSAI to predict patterns based on which positive and negative examples could be classified. Although BONSAI has helped establish 2 interesting rules regarding the requirements for N-myristoylation, the accuracy rates of these rules are not satisfactory. This paper suggests an enhancement of BONSAI by introducing an ”insignificant indexing symbol” and demonstrates the efficiency of this enhancement by showing an improvement in the accuracy rates. We further examine the performance of this enhanced BONSAI by comparing the results of classification obtained the proposed method and an existing public method for the same sets of positive and negaitve examples.
Languages eng
Resource Type journal article
Publishers 日本バイオインフォマティクス学会
Date Issued 2007
File Version Version of Record
Access Rights open access
Relations
[ISSN]0919-9454
[PMID]info:pmid/18546495
[isVersionOf] [URI]http://www.jsbi.org/journal1/
Schools 大学情報機構 大学院理工学研究科(工学)