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It is a continuation of the previous work on the A<jats:sup>4<\/jats:sup>-algorithm (Adaptive algorithm of automated annotation) developed by Leontovich and others.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats: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.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats: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<jats:sup>4<\/jats:sup>-procedure.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-9-31","type":"journal-article","created":{"date-parts":[[2008,3,11]],"date-time":"2008-03-11T20:52:52Z","timestamp":1205268772000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["The comparative analysis of statistics, based on the likelihood ratio criterion, in the automated annotation problem"],"prefix":"10.1186","volume":"9","author":[{"given":"Andrey M","family":"Leontovich","sequence":"first","affiliation":[]},{"given":"Konstantin Y","family":"Tokmachev","sequence":"additional","affiliation":[]},{"given":"Hans C","family":"van Houwelingen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2008,1,22]]},"reference":[{"key":"2016_CR1","doi-asserted-by":"publisher","first-page":"228","DOI":"10.1093\/bioinformatics\/15.3.228","volume":"15","author":"W Fleischmann","year":"1999","unstructured":"Fleischmann W, Moller S, Gateau A, Apweiler R: A novel method for automatic functional annotation of proteins. 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