Kay, J.W. , Shinn, A.P. and Somerville, C. (1999) Advances towards an automated system for the identification of notifiable pathogens: the salmon parasite Gyrodactylus salaris as an example. Parasitology Today, 15(5), pp. 201-206. (doi: 10.1016/S0169-4758(99)01433-7) (PMID:10322355)
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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.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Kay, Dr James |
Authors: | Kay, J.W., Shinn, A.P., and Somerville, C. |
College/School: | College of Science and Engineering > School of Mathematics and Statistics > Statistics |
Journal Name: | Parasitology Today |
Publisher: | Elsevier |
ISSN: | 0169-4758 |
Published Online: | 17 June 1999 |
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