The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem

BACKGROUND: This paper discusses the problem of automated annotation. It is a continuation of the previous work on the A(4)-algorithm (Adaptive algorithm of automated annotation) developed by Leontovich and others. RESULTS: A number of new statistics for the automated annotation of biological sequen...

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Detalles Bibliográficos
Autores principales: Leontovich, Andrey M, Tokmachev, Konstantin Y, van Houwelingen, Hans C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267706/
https://www.ncbi.nlm.nih.gov/pubmed/18211675
http://dx.doi.org/10.1186/1471-2105-9-31
Descripción
Sumario:BACKGROUND: This paper discusses the problem of automated annotation. It is a continuation of the previous work on the A(4)-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 A(4)-procedure.

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