✦ LIBER ✦

Bayesian Predictive Identification and Cumulative Classification of Bacteria

✍ Scribed by M. Gyllenberg; T. Koski; T. Lund; H.G. Gyllenberg

Publisher: Springer
Year: 1999
Tongue: English
Weight: 305 KB
Volume: 61
Category: Article
ISSN: 1522-9602
DOI: 10.1006/bulm.1998.0076

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✦ Synopsis

In this paper we give a mathematically precise formulation of an old idea in bacterial taxonomy, namely cumulative classification, where the taxonomy is continuously updated and possibly augmented as new strains are identified. Our formulation is based on Bayesian predictive probability distributions. The criterion for founding a new taxon is given a firm theoretical foundation based on prediction and it is given a clear-cut interpretation. We formulate an algorithm for cumulative classification and apply it to a large database of bacteria belonging to the family Enterobacteriaceae. The resulting taxonomy makes microbiological sense.

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