2013
DOI: 10.1016/j.jtbi.2012.12.027
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Investigation on series of length of coding and non-coding DNA sequences of bacteria using multifractal detrended cross-correlation analysis

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Cited by 35 publications
(23 citation statements)
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“…There were also trials to apply multifractal detrended analysis to even smaller time series (e.g. Stan et al 2013used ~2000 samples, Pavón-Domín guez et al 2013. In our study we decided that our time series should not be shorter than 4000 samples; therefore, the only rational way of analysing a possible change in multispectral properties of the studied meteorological quan tities in time was to use to 2 equal subsets, 1980− 1995 and 1996−2010 (each containing ~5000 samples).…”
Section: Methodsmentioning
confidence: 99%
“…There were also trials to apply multifractal detrended analysis to even smaller time series (e.g. Stan et al 2013used ~2000 samples, Pavón-Domín guez et al 2013. In our study we decided that our time series should not be shorter than 4000 samples; therefore, the only rational way of analysing a possible change in multispectral properties of the studied meteorological quan tities in time was to use to 2 equal subsets, 1980− 1995 and 1996−2010 (each containing ~5000 samples).…”
Section: Methodsmentioning
confidence: 99%
“…Jiang and his coworkers have also developed a method called multifractal detrended moving average cross correlation analysis to study the cross correlation between two time series [49]. Using these above mentioned approaches the cross correlation behavior and multifractal characteristics studies have been carried out in analyzing time series of physiology, financial, and natural sciences [50][51][52][53][54][55][56][57][58][59]. In the further research, most of these one-dimensional time series methods on long range correlation and cross-correlation analysis have been extended to study higher dimensional data sets [41,43,45].…”
Section: Introductionmentioning
confidence: 99%
“…In the recent past, some interest has been shown in applying nonlinear physics for the analysis of DNA sequences and proteins, including the concepts of scaleinvariance, fractal, multifractal, long-range correlation and network [9][10][11][12][13][14][15][16][17][18][19][20][21]. Different techniques including mutual information functions, autocorrelation functions, power spectra, ''DNA walk'' representation and entropies, are used for statistical analysis of DNA sequences [10,12].…”
Section: Introductionmentioning
confidence: 99%
“…shown to be useful for biological identification, classification and prediction [13][14][15]. C. Stan et al investigated the characteristics of coding and non-coding DNA sequences length of some bacteria and archaea using an extension of multifractal detrended cross-correlation analysis.…”
Section: Introductionmentioning
confidence: 99%
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