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On one problem of reconstructing matrix distances between chains of DNA

机译:在DNA链中重建矩阵距离的一个问题

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In practice, there is a need to calculate the distances between sequences of different nature. Similar algorithms are used in bioinformatics to compare sequenced genetic chains. Due to the large dimension of such chains, it is necessary to use heuristic algorithms that give approximate results.There are various heuristic algorithms for determining the distance between genomes, but the obvious disadvantage in calculating the distance between the same pair of DNA strings is to obtain several different results when using different algorithms for calculating metrics. Therefore, there is a problem of assessing the quality of the used metrics (distances), the results of which can be concluded about the applicability of the algorithm to various studies.One of the problems considered in biocybernetics is the problem of recovering the matrix of distances between DNA sequences, when not all elements of the considered matrix are known at the input of the algorithm. In this regard, a problem of developing method for comparative evaluation of algorithms calculating distances between sequences is used for another problem, i.e., the problem of restoring the matrix of distances between DNA sequences.In this paper, we consider the possibility of using the developed and studied by us earlier method of comparative evaluation of algorithms for calculating distances between a pair of DNA strings to restore the partially filled matrix of distances. Matrix recovery occurs as a result of several computational passes. Estimation of unknown matrix elements are averaged in a special way with the use of so-called risk function, and the result of this averaging is considered as the resulting value of the unknown element.
机译:在实践中,需要计算不同性质的序列之间的距离。类似的算法用于生物信息学中以比较测序的遗传链。由于这种链的大维度,有必要使用提供近似结果的启发式算法。是用于确定基因组之间的距离的各种启发式算法,但在计算同一对DNA字符串之间的距离时是明显的缺点使用不同的算法计算测量标准时获得几种不同的结果。因此,存在评估所使用的度量(距离)的质量的问题,其结果可以得出关于算法对各种研究的适用性。在生物鸡虫中考虑的问题是恢复矩阵的问题DNA序列之间的距离,当不是所考虑的矩阵的所有元素时在算法的输入时是已知的。在这方面,用于算法计算序列之间的距离的比较评估方法的问题,即另一个问题,即恢复DNA序列之间的距离矩阵的问题。在本文中,我们考虑使用开发的可能性通过我们研究了对算法的比较评估方法,用于计算一对DNA串之间的距离以恢复部分填充的距离矩阵。由于多个计算通过,矩阵恢复发生。通过使用所谓的风险功能,以特殊方式估计未知矩阵元件的估计,并且将该平均的结果被认为是未知元素的结果值。

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