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Haplotyping a single triploid individual based on genetic algorithm

机译:基于遗传算法的单个三倍体个体单倍型

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摘要

The minimum error correction model is an important combinatorial model for haplotyping a single individual. In this article, triploid individual haplotype reconstruction problem is studied by using the model. A genetic algorithm based method GTIHR is presented for reconstructing the triploid individual haplotype. A novel coding method and an effectual hillclimbing operator are introduced for the GTIHR algorithm. This relatively short chromosome code can lead to a smaller solution space, which plays a positive role in speeding up the convergence process. The hill-climbing operator ensures algorithm GTIHR converge at a good solution quickly, and prevents premature convergence simultaneously. The experimental results prove that algorithm GTIHR can be implemented efficiently, and can get higher reconstruction rate than previous algorithms.
机译:最小错误校正模型是用于对单个人进行单体型设计的重要组合模型。在本文中,使用该模型研究了三倍体个体单倍型重建问题。提出了一种基于遗传算法的GTIHR重建三倍体个体单倍型的方法。针对GTIHR算法引入了一种新颖的编码方法和一种有效的爬山算子。这种相对较短的染色体代码可以导致较小的解空间,这在加快收敛过程中起着积极的作用。爬坡算子可以确保算法GTIHR快速收敛,并且可以防止过早收敛。实验结果证明,该算法可以有效地实现,并且比以前的算法具有更高的重建率。

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