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Statistical Methods for Detecting Latent Periodicity in Biological Sequences: Solving a Problem of Small-Size Samples

机译:检测生物序列中潜在周期性的统计方法:解决小尺寸样本的问题

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An original spectral-statistical approach for detecting latent periodicity in biological sequences is proposed. This approach can be applied under conditions of limited statistical sample. It allows one to avoid redundancy and instability when identifying the latent periodicity structure. The results of spectral-statistical approach application for latent periodicity search in genomes of model organisms are collected in the HETEROGENE database http://www.jcbi.ru/lp_baze/.
机译:提出了一种用于检测生物序列中的潜周性的原始光谱统计方法。这种方法可以在有限统计样本的条件下应用。它允许其中禁止识别潜在周期结构时避免冗余和不稳定性。在模型生物体的基因组中,在Heterogene数据库中收集了光谱统计方法申请的潜在周期性搜索的结果是收集在hetverodene数据库http://www.jcbi.ru/lp_baze/。

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