Network analyses in systems biology: new strategies for dealing with biological complexity.
The increasing application of network models to interpret biological systems raises a number of important methodological and epistemological questions. What novel insights can network analysis provide in biology? Are network approaches an extension of or in conflict with mechanistic research strateg...
| Publicado en: | Synthese Vol. 195; no. 4; pp. 1751 - 1778 |
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| Autores principales: | , , , , , |
| Formato: | Artículo |
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Springer Nature
Apr2018
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=128378885&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 128378885 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00397857 4LI jtl: Synthese issn: 00397857 maglogo: N pubinfo: dt: Apr2018 vid: 195 iid: 4 pid: 237 pub: Springer Nature artinfo: ui: 128378885 10.1007/s11229-016-1307-6 ppf: 1751 ppct: 27 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.5MB tig: atl: Network analyses in systems biology: new strategies for dealing with biological complexity. aug: au: Green, Sara Şerban, Maria Scholl, Raphael Jones, Nicholaos Brigandt, Ingo Bechtel, William affil: University of Copenhagen, Copenhagen, Denmark University of Geneva, Geneva, Switzerland University of Alabama in Huntsville, Huntsville, USA University of California, San Diego, La Jolla, CA, USA University of California, San Diego, USA su: Systems biology Biological networks Biocomplexity Dynamical systems Cancer sug: subj: Systems biology Biological networks Biocomplexity Dynamical systems Cancer keyword: Mechanistic research strategies Network modeling Representation ab: The increasing application of network models to interpret biological systems raises a number of important methodological and epistemological questions. What novel insights can network analysis provide in biology? Are network approaches an extension of or in conflict with mechanistic research strategies? When and how can network and mechanistic approaches interact in productive ways? In this paper we address these questions by focusing on how biological networks are represented and analyzed in a diverse class of case studies. Our examples span from the investigation of organizational properties of biological networks using tools from graph theory to the application of dynamical systems theory to understand the behavior of complex biological systems. We show how network approaches support and extend traditional mechanistic strategies but also offer novel strategies for dealing with biological complexity. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Synthese is a copyright of Springer, 2018. All Rights Reserved. item: Synthese holder: Springer Nature dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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