The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem.
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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.
SUBMITTER: Leontovich AM
PROVIDER: S-EPMC2267706 | biostudies-literature | 2008 Jan
REPOSITORIES: biostudies-literature
Publications
The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem.
Leontovich Andrey M AM Tokmachev Konstantin Y KY van Houwelingen Hans C HC
BMC bioinformatics 20080122
<h4>Background</h4>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.<h4>Results</h4>A number of new statistics for the automated annotation of biological sequences is introduced. All these statistics are based on the likelihood ratio criterion.<h4>Conclusion</h4>Some of the statistics yield a prediction quality that is significantly higher (up to ...[more]
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