BMC Bioinformatics (Jan 2008)
The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
Abstract
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.