Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks
Joint Authors
Zheng, Fang
Wei, Le
Zhao, Liang
Ni, FuChuan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-30
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Biological pathways play important roles in the development of complex diseases, such as cancers, which are multifactorial complex diseases that are usually caused by multiple disorders gene mutations or pathway.
It has become one of the most important issues to analyze pathways combining multiple types of high-throughput data, such as genomics and proteomics, to understand the mechanisms of complex diseases.
In this paper, we propose a method for constructing the pathway network of gene phenotype and find out disease pathogenesis pathways through the analysis of the constructed network.
The specific process of constructing the network includes, firstly, similarity calculation between genes expressing data combined with phenotypic mutual information and GO ontology information, secondly, calculating the correlation between pathways based on the similarity between differential genes and constructing the pathway network, and, finally, mining critical pathways to identify diseases.
Experimental results on Breast Cancer Dataset using this method show that our method is better.
In addition, testing on an alternative dataset proved that the key pathways we found were more accurate and reliable as biological markers of disease.
These results show that our proposed method is effective.
American Psychological Association (APA)
Zheng, Fang& Wei, Le& Zhao, Liang& Ni, FuChuan. 2018. Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks. BioMed Research International،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1127407
Modern Language Association (MLA)
Zheng, Fang…[et al.]. Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks. BioMed Research International No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1127407
American Medical Association (AMA)
Zheng, Fang& Wei, Le& Zhao, Liang& Ni, FuChuan. Pathway Network Analysis of Complex Diseases Based on Multiple Biological Networks. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1127407
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1127407