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

机译:通过二次判别分析增加多样性–生物信息学中序列模式识别的有效工具

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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.
机译:【摘要】随着基因组研究的迅速发展,如何正确识别DNA和蛋白质序列的功能位点和结构模式已成为生物信息学的巨大挑战。因此,已经提出了大量算法和工具并将其应用于序列模式识别。使用二次判别分析(IDQD)来增加多样性是有效的计算工具之一。在本文中,我们将介绍IDQD方法的要点,并综述其在DNA和蛋白质序列模式识别中的应用,最后对这种方法的前景进行一些讨论。

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