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

<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>...

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Main Authors: van Houwelingen Hans C, Tokmachev Konstantin Y, Leontovich Andrey M
Format: Article
Language:English
Published: BMC 2008-01-01
Series:BMC Bioinformatics
Online Access:http://www.biomedcentral.com/1471-2105/9/31
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spelling doaj-8a1b0c67c1c540d5878031ec349999702020-11-25T02:18:56ZengBMCBMC Bioinformatics1471-21052008-01-01913110.1186/1471-2105-9-31The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problemvan Houwelingen Hans CTokmachev Konstantin YLeontovich Andrey M<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> http://www.biomedcentral.com/1471-2105/9/31
collection DOAJ
language English
format Article
sources DOAJ
author van Houwelingen Hans C
Tokmachev Konstantin Y
Leontovich Andrey M
spellingShingle van Houwelingen Hans C
Tokmachev Konstantin Y
Leontovich Andrey M
The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
BMC Bioinformatics
author_facet van Houwelingen Hans C
Tokmachev Konstantin Y
Leontovich Andrey M
author_sort van Houwelingen Hans C
title The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
title_short The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
title_full The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
title_fullStr The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
title_full_unstemmed The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
title_sort comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem
publisher BMC
series BMC Bioinformatics
issn 1471-2105
publishDate 2008-01-01
description <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>
url http://www.biomedcentral.com/1471-2105/9/31
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