Towards an automated system for the identification of notifiable pathogens: using as an example. |
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Authors: | J W Kay A P Shinn C Sommerville |
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Affiliation: | Department of Statistics, University of Glasgow, Glasgow, UK G12 8QQ. |
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Abstract: | Simple and rapid identification of pathogen species is crucial to the control of many diseases. Here, James Kay, Andrew Shinn and Christina Sommerville demonstrate that statistical classifiers discriminate a notifiable pathogen Gyrodactylus salaris Malmberg, 1957, a lethal ectoparasite of Atlantic salmon, Salmo salar L., from its benign close relatives. |
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