The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
1 Belozersky Institute of Physico-Chemical Biology, Moscow State University, Moscow, 119899, Russia
2 Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Post zone S5-P, 2300 RC Leiden, The Netherlands
BMC Bioinformatics 2008, 9:31 doi:10.1186/1471-2105-9-31Published: 22 January 2008
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.