Multifractal detrended cross-correlation analysis of coding and non-coding DNA sequences through chaos-game representation
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DOI: 10.1016/j.physa.2015.05.018
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Cited by:
- Charutha, S. & Gopal Krishna, M. & Manimaran, P., 2020. "Multifractal analysis of Indian public sector enterprises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 557(C).
- Manimaran, P. & Narayana, A.C., 2018. "Multifractal detrended cross-correlation analysis on air pollutants of University of Hyderabad Campus, India," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 228-235.
- Pal, Mayukha & Kiran, V. Satya & Rao, P. Madhusudana & Manimaran, P., 2016. "Multifractal detrended cross-correlation analysis of genome sequences using chaos-game representation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 288-293.
- Hasan, Rashid & Mohammed Salim, M., 2017. "Power law cross-correlations between price change and volume change of Indian stocks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 620-631.
- Li, Yushuang & Liu, Qian & Zheng, Xiaoqi, 2016. "DUC-Curve, a highly compact 2D graphical representation of DNA sequences and its application in sequence alignment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 256-270.
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Keywords
DNA sequence; Multifractal detrended cross-correlation analysis; Chaos game representation;All these keywords.
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