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21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07)
Markov Models to Classify M. tuberculosis Spoligotypes
Niagara Falls, Ontario, Canada
May 21-May 23
ISBN: 0-7695-2847-3
Georges Valetudie, Universite Antilles-Guyane, France
Jacky Desachy, Universite Antilles-Guyane, France
Christophe Sola, Institute Pasteur de Guadeloupe, France
In this paper we use Markov Models to classify automatically spoligotypes. A spoligotype is a sequence of 43 binary values provided by a DNA analysis technique. These methods, robust and well adapted to sequential data, allow us to generate a model on the basis of probabilities, calculated directly on the observations. We use these techniques to create one classifier for each searched class.
Citation:
Georges Valetudie, Jacky Desachy, Christophe Sola, "Markov Models to Classify M. tuberculosis Spoligotypes," ainaw, vol. 1, pp.668-671, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007
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