Multifractal detrended cross-correlation analysis of coding and non-coding DNA sequences through chaos-game representation

DOI10.1016/J.PHYSA.2015.05.018zbMath1400.92408OpenAlexW1922532241MaRDI QIDQ1618655

R. Smith

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2015.05.018

zbMATH Keywords

DNA sequencechaos game representationmultifractal detrended cross-correlation analysis

Mathematics Subject Classification ID

Applications of game theory (91A80) Protein sequences, DNA sequences (92D20)

Related Items (4)

DUC-curve, a highly compact 2D graphical representation of DNA sequences and its application in sequence alignment ⋮ Multifractal detrended cross-correlation analysis of genome sequences using chaos-game representation ⋮ Fractal approximation of chaos game representations using recurrent iterated function systems ⋮ Hyperchaotic behaviors, optimal control, and synchronization of a nonautonomous cardiac conduction system

Uses Software

• Multifractal

Cites Work

• Multifractal detrended fluctuation analysis of nonstationary time series
• Investigation on series of length of coding and non-coding DNA sequences of bacteria using multifractal detrended cross-correlation analysis
• Similarity analysis for DNA sequences based on chaos game representation. Case study: the albumin
• Cross-correlations between volume change and price change
• A Suggested Statistical Model of some Time Series which occur in Nature
• Spectral fluctuation characterization of random matrix ensembles through wavelets
• Random Fourier Transforms
• Multifractal analysis of DNA sequences using a novel chaos-game representation

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