Induction Tree methods to classify M. tuberculosis spoligotypes

Abstract

In this paper we compared and analyzed four graph induction methods to automatically classify spoligotypes. A spoligotype is a sequence of 43 binary values provided by a DNA analysis technique. This method is known to be useful and efficient to many supervised learning problems. We found it interesting to use these techniques especially for sequential data, in order to create a classifier based on one decision rule per class