Lévy statistics in coding and non-coding nucleotide sequences

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• 作者：Scafetta ; Nicola ; Latora ; Vito ; Grigolini ; Paolo
• 关键词：05.40.+j ; Time series analysis ; Lé ; vy statistics ; DNA
• 刊名：Physics Letters A
• 出版年：2002
• 出版时间：July 15, 2002
• 年：2002
• 卷：299
• 期：5-6
• 页码：565-570
• 全文大小：107 K

文摘

The diffusion entropy analysis measures the scaling of the probability density function (pdf) of the diffusion process generated by time series imagined as a physical source of fluctuations. The pdf scaling exponent, δ, departs in the non-Gaussian case from the scaling exponent H_V evaluated by variance based methods. When δ=1/(3−2H_V) Lévy statistics characterizes the time series. With the help of artificial sequences that are proved to be statistically equivalent to the real DNA sequences we find that long-range correlations generating Lévy statistics are present in both coding and non-coding DNA sequences.