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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||