Assessing sequence comparison methods with the average precision criterion | Zendy

Zhuoran Chen | Zendy

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Assessing sequence comparison methods with the average precision criterion

Author(s) -

Zhuoran Chen

Publication year - 2003

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btg349

Subject(s) - sequence (biology) , computer science , algorithm , statistics , mathematics , genetics , biology

Comprehensive performance assessment is important for improving sequence database search methods. Sensitivity, selectivity and speed are three major yet usually conflicting evaluation criteria. The average precision (AP) measure aims to combine the sensitivity and selectivity features of a search algorithm. It can be easily visualized and extended to analyze results from a set of queries. Finally, the time-AP plot can clearly show the overall performance of different search methods.

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