The Comparative Analysis of Statistics, Based on the Likelihood Ratio Criterion, in the Automated Annotation Problem

Overview

Journal BMC Bioinformatics

Publisher Biomed Central

Specialty Biology

Date 2008 Jan 24

PMID 18211675

Citations 2

Authors

Andrey M Leontovich

Konstantin Y Tokmachev

Hans C van Houwelingen

Affiliations

Soon will be listed here.

Abstract

Background: This paper discusses the problem of automated annotation. It is a continuation of the previous work on the A4-algorithm (Adaptive algorithm of automated annotation) developed by Leontovich and others.

Results: A number of new statistics for the automated annotation of biological sequences is introduced. All these statistics are based on the likelihood ratio criterion.

Conclusion: Some of the statistics yield a prediction quality that is significantly higher (up to 1.5 times higher) in comparison with the results obtained with the A4-procedure.

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