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Lack of precision in commercial identification systems: correction using Bayesian analysis
Author(s) -
Berger S.A.
Publication year - 1990
Publication title -
journal of applied bacteriology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.889
H-Index - 156
eISSN - 1365-2672
pISSN - 0021-8847
DOI - 10.1111/j.1365-2672.1990.tb02576.x
Subject(s) - spurious relationship , identification (biology) , ranking (information retrieval) , bayesian probability , rank (graph theory) , demotion , statistics , computer science , econometrics , data mining , biology , mathematics , artificial intelligence , ecology , combinatorics , politics , political science , law
Commercial microbial identification systems rank the relative likelihood of species identity on the basis of in vitro reactions only. Failure to consider the prevalence of individual taxa results in a spurious demotion of common species; and a tendency toward over reporting of rare microbes. The incorporation of Bayesian analysis into identification matrices can provide for a realistic ranking of bacterial species which fulfil given biocode schemes. and accepted 22 June 1989