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首页> 外文期刊>Journal of Bioinformatics and Sequence Analysis >Identification of unique repeated patterns, location of mutation in DNA finger printing using artificial intelligence technique
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Identification of unique repeated patterns, location of mutation in DNA finger printing using artificial intelligence technique

机译:使用人工智能技术识别DNA指纹中独特重复模式,突变位置

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摘要

The proposed Neural-Fuzzy pattern recognition (NFPR) system discussed in this paper effectively?reduces the complication in precisely analyzing and interpreting human deoxyribonucleic acid (DNA)?sample. In this novel approach, the perfect blend made of bioinformatics and a competitive method of?neural networks technique, which has the advantage over conventional computation technique, in their?ability to solve problem that do not have an algorithmic solution or the available solutions are also too?complex to be found, results in efficient DNA pattern analysis algorithm that identifies repeated?patterns in the given human DNA sample assisting in generation of unique identification number of an?individual, location of occurrence of mutation in the mutated DNA sample with utmost prediction?accuracy.
机译:本文所讨论的神经模糊模式识别(NFPR)系统有效地减少了精确分析和解释人类脱氧核糖核酸(DNA)样品的复杂性。在这种新颖的方法中,由生物信息学制成的完美混合物与一种竞争性的神经网络技术相较于常规计算技术具有优势,因为它们能够解决没有算法解决方案或可用解决方案的问题。太复杂而无法找到,将导致有效的DNA模式分析算法,该算法可识别给定人类DNA样品中的重复模式,从而有助于以最大的预测在突变的DNA样品中唯一,唯一地确定突变发生的位置?准确性。

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