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, delta, departs in the non-Gaussian case from the scaling exponent HV evaluated by variance based methods. When delta=1/(3-2H) 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.
Levy statistics in coding and non-coding nucleotide sequences / Scafetta, Nicola; Latora, V.; Grigolini, P.. - In: PHYSICS LETTERS A. - ISSN 0375-9601. - 299:(2002), pp. 565-570. [10.1016/S0375-9601(02)00730-2]
Levy statistics in coding and non-coding nucleotide sequences
SCAFETTA, NICOLA;
2002
Abstract
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, delta, departs in the non-Gaussian case from the scaling exponent HV evaluated by variance based methods. When delta=1/(3-2H) 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
