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 A<sup>4</sup>-algorithm (Adaptive algorithm of automated annotation) developed by Leontovich and others.</p>...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2008-01-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/9/31 |
| Summary: | <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 A<sup>4</sup>-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 A<sup>4</sup>-procedure.</p> |
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| ISSN: | 1471-2105 |