Mathematical and Computational Modeling in Complex Biological Systems.
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 ma...
| Publicado en: | BioMed Research International Vol. 2017; pp. 1 - 17 |
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| Autores principales: | , , , , |
| Formato: | equations & formulas pictorial review tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
3/13/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=121766771&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 121766771 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 3/13/2017 vid: 2017 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 121766771 121766771 121766771 10.1155/2017/5958321 121766771 ppf: 1 ppct: 16 formats: fmt: @attributes: type: P tig: atl: Mathematical and Computational Modeling in Complex Biological Systems. aug: au: Ji, Zhiwei Yan, Ke Li, Wenyang Hu, Haigen Zhu, Xiaoliang affil: School of Information & Electronic Engineering, Zhejiang Gongshang University, 18 Xuezheng Road, Hangzhou 310018, China sug: subj: Neoplasms Disease Progression Biological Phenomena Computer Simulation Mathematics Bioinformatics Models, Biological Models, Theoretical ab: 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. pubtype: Academic Journal doctype: equations & formulas pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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