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. 2008 Jan 22:9:31.
doi: 10.1186/1471-2105-9-31.

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

Andrey M Leontovich  1 , Konstantin Y Tokmachev, Hans C van Houwelingen
Affiliations

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

Andrey M Leontovich et al. BMC Bioinformatics. .

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.

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Figures

Figure 1
Figure 1
A4 algorithm scheme.
Figure 2
Figure 2
ROC curves for the best variants of the statistics. The figure shows the ROC curves (1–5) for the best variants of the statistics (i.e., for variants marked in Table 2). Curve 1 corresponds to η[1,1]; curve 2 corresponds to T(1)[1,0]; curve 3 corresponds to T(2)[1,1]; curve 4 corresponds to T^(2)[0,1]; curve 5 corresponds to q.
See this image and copyright information in PMC

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