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

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

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. A number of new statistics for the automated annotation of biological sequences is introduced. All...

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Veröffentlicht in:BMC bioinformatics 2008-01, Vol.9 (1), p.31-31, Article 31
Hauptverfasser: Leontovich, Andrey M, Tokmachev, Konstantin Y, van Houwelingen, Hans C
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Analysis
Comparative analysis
Computer Simulation
Data Interpretation, Statistical
Databases, Genetic
Genetic algorithms
Likelihood Functions
Measurement
Methodology
Models, Genetic
Models, Statistical
Nucleotide sequence
Reproducibility of Results
Sensitivity and Specificity
Sequence Alignment - methods
Sequence Analysis - methods
Statistics
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Beschreibung
Zusammenfassung: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. A number of new statistics for the automated annotation of biological sequences is introduced. All these statistics are based on the likelihood ratio criterion. 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.
ISSN:1471-2105
1471-2105
DOI:10.1186/1471-2105-9-31