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

<p>Abstract</p> <p>Background</p> <p>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.</p> <p>Results</p> <p>A number of new statistics for the automated annotation of biological sequences is introduced. All these statistics are based on the likelihood ratio criterion.</p> <p>Conclusion</p> <p>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.</p