On the detection of DNA periodicities by spectral analysis and adaptive mappings: Cost functions comparison

机译：关于通过光谱分析和自适应映射检测DNA周期的方法：成本函数比较

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DNA sequences can be analyzed by spectral techniques, looking for hidden periodicities. Anyway, mapping between nucleotide bases and numeric values has a strong impact on the DNA spectrum. The Minimum Entropy Mapping algorithm introduced the concept of adaptive mapping: the association between bases and numbers is not fixed, but is chosen to minimize a cost function, the spectrum entropy. In this paper, we consider adaptive mappings based on other cost functions, like Simpson Variance, Gini Difference and Bray Measure. Their different ability to detect periodicities and exonic regions is addressed and discussed.

机译：可以通过光谱技术分析DNA序列，寻找隐藏的周期性。无论如何，核苷酸碱基和数值之间的映射对DNA光谱有很大影响。最小熵映射算法引入了自适应映射的概念：基数和数字之间的关联不是固定的，而是为了最小化成本函数频谱熵而选择的。在本文中，我们考虑基于其他成本函数的自适应映射，例如Simpson Variance，Gini Difference和Bray Measure。他们讨论和讨论了它们检测周期性和外显子区域的不同能力。

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《Software, Telecommunications amp; Computer Networks, 2009. SoftCOM 2009》|2009年|323-327|共5页
会议地点 Hvar(HR);Hvar(HR)
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Caceres Mauricio A.; Garello Roberto;
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Politecnico di Torino, Italy;

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On the detection of DNA periodicities by spectral analysis and adaptive mappings: Cost functions comparison

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