Multifractal detrended cross-correlation analysis of genome sequences using chaos-game representation
type: Item
instance of: scholarly article
title: Multifractal detrended cross-correlation analysis of genome sequences using chaos-game representation
zbMATH Open document ID: 1400.92407
author: Mayukha Pal
author: V. Satya Kiran
author: P. Madhusudana Rao
author: P. Manimaran
published in: Physica A
publication date: 2018-11-13T00:00:00Z
Mathematics Subject Classification ID: 92D20
Mathematics Subject Classification ID: 91A80
zbMATH DE Number: 6978157
zbMATH Keywords: multifractal detrended cross-correlation analysis
zbMATH Keywords: chaos game representation
zbMATH Keywords: genome sequences
zbMATH Keywords: scaling exponent
zbMATH Keywords: cluster analysis
MaRDI profile type: Publication
full work available at URL: j.physa.2016.03.074
OpenAlex ID: W2323580520
cites work: Q4740120
cites work: Q4039736
cites work: Multifractal detrended fluctuation analysis of nonstationary time series
cites work: Two-dimensional turbulence: a physicist approach
cites work: Cross-correlations between volume change and price change
cites work: Multifractal cross-correlation analysis based on statistical moments
cites work: Investigation on series of length of coding and non-coding DNA sequences of bacteria using multifractal detrended cross-correlation analysis
cites work: Multifractal analysis of DNA sequences using a novel chaos-game representation
cites work: Similarity analysis for DNA sequences based on chaos game representation. Case study: the albumin
cites work: Multifractal detrended cross-correlation analysis of coding and non-coding DNA sequences through chaos-game representation
DOI: 10.1016/J.PHYSA.2016.03.074
description: scientific article; zbMATH DE number 6978157