Nucleosome Positioning With Fractal Entropy Increment of Diversity in Telemedicine
Author(s) -
Mengye Lu,
Shuai Liu,
Arun Kumar Sangaiah,
Yunpeng Zhou,
Zheng Pan,
Yongchun Zuo
Publication year - 2017
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2779850
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Recently, telemedicine solutions have become a new trend in remote medical treatment. Many diseases are originated from abnormal variation of biological processes, especially in nucleosome positioning. Thus, effective prediction of nucleosome positioning becomes a hotspot in the research of telemedicine. In this paper, a novel method is provided to compare varies of sequences firstly. This method, which is called fractal entropy increment of diversity (FEID), is based on information entropy and increment of diversity. Then, a novel nucleosome positioning method is provided by using FEID into the data set of diversiform DNA sequences of human, worm, fly, and yeast. Moreover, experimental results show that FEID is an effective nucleosome positioning method by compared with other methods on several benchmark data sets. Finally, the most important nucleotide sequence in nucleosome positioning is provided based on calculated contribution rates of nucleotide sequences.
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