Increment of diversity with quadratic discriminant analysis – an efficient tool for sequence pattern recognition in bioinformatics
Jun Lu1, Liaofu Luo2, Lirong Zhang2, Wei Chen2, Ying Zhang1,2
1Department of Physics, Inner Mongolia University of Technology, Hohhot 010051, China; 2Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot 010021, China
Abstract: Accompanying the rapid development of genome research, how to correctly recognize functional sites and structural modes of DNA and protein sequences has become a great challenge to bioinformatics. Therefore, a great number of algorithms and tools have been proposed and applied to sequence pattern recognition. Increment of Diversity with Quadratic Discriminant analysis (IDQD) is one of the efficient computational tools. In this article we shall introduce the main points of IDQD method and review its application in DNA and protein sequence pattern recognition, and finally give some discussions on the prospects of the approach.
Keywords: Increment of Diversity, Quadratic Discriminant analysis, sequence pattern recognition
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