![](/images/graphics-bg.png)
Mathematical and Computational Modeling in Complex Biological Systems
Joint Authors
Ji, Zhiwei
Hu, Haigen
Yan, Ke
Li, Wenyang
Zhu, Xiaoliang
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-13
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The biological process and molecular functions involved in the cancer progression remain difficult to understand for biologists and clinical doctors.
Recent developments in high-throughput technologies urge the systems biology to achieve more precise models for complex diseases.
Computational and mathematical models are gradually being used to help us understand the omics data produced by high-throughput experimental techniques.
The use of computational models in systems biology allows us to explore the pathogenesis of complex diseases, improve our understanding of the latent molecular mechanisms, and promote treatment strategy optimization and new drug discovery.
Currently, it is urgent to bridge the gap between the developments of high-throughput technologies and systemic modeling of the biological process in cancer research.
In this review, we firstly studied several typical mathematical modeling approaches of biological systems in different scales and deeply analyzed their characteristics, advantages, applications, and limitations.
Next, three potential research directions in systems modeling were summarized.
To conclude, this review provides an update of important solutions using computational modeling approaches in systems biology.
American Psychological Association (APA)
Ji, Zhiwei& Yan, Ke& Li, Wenyang& Hu, Haigen& Zhu, Xiaoliang. 2017. Mathematical and Computational Modeling in Complex Biological Systems. BioMed Research International،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1137867
Modern Language Association (MLA)
Ji, Zhiwei…[et al.]. Mathematical and Computational Modeling in Complex Biological Systems. BioMed Research International No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1137867
American Medical Association (AMA)
Ji, Zhiwei& Yan, Ke& Li, Wenyang& Hu, Haigen& Zhu, Xiaoliang. Mathematical and Computational Modeling in Complex Biological Systems. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1137867
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1137867