An algorithm for generating representative functional annotations based on gene ontology

被引:0
|
作者
Lee, IY [1 ]
Ho, JM [1 ]
Lin, WC [1 ]
机构
[1] Acad Sinica, Inst Informat Sci, Taipei 115, Taiwan
来源
14TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS | 2003年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The authors address the issue of providing highly representative descriptions in automated functional annotations. For an uncharacterized sequence, a common strategy is to infer such annotations from those of well-characterized sequences that contain its homologues. However, under many circumstances, this strategy fails to produce meaningful annotations. Using information revealed by the structured vocabularies of Gene Ontology, we. propose a quantitative algorithm to assign representative annotations. We established a confidence function that reflects both the precision and coverage of a candidate annotation, and reasoned the function's parameters from analyses of significant forms of candidate distributions on the GO graph. We tested the algorithm with our self-designed BIO101 (http://BIO101.iis.sinica.edu.tw)-an automated annotation system that supports the workflows of functional annotations for expressed sequence tags (ESTs). According to our experimental, results, the algorithm is capable of producing representative and meaningful functional annotations.
引用
收藏
页码:10 / 15
页数:6
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