Increment of diversity with quadratic discriminant analysis – an efficient tool for sequence pattern recognition in bioinformatics

crement of diversity with quadratic discriminant analysis – an efficient tool for sequence pattern recognition in bioinformatics Original Research (3715) Total Article Views Authors: Jun Lu, Liaofu Luo, Lirong Zhang, et al Published Date August 2010 Volume 2010:2 Pages 89 - 96 DOI: http://dx.doi.org/10.2147/OAB.S10782 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.