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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/28540
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dc.contributor.authorBerryman, M.-
dc.contributor.authorAllison, A.-
dc.contributor.authorAbbott, D.-
dc.contributor.editorNicolau, D.-
dc.date.issued2005-
dc.identifier.citationBiomedical applications of micro- and nanoengineering II : 13-15 December 2004, Sydney, Australia / Dan V. Nicolau (ed.), pp. 126-133-
dc.identifier.isbn081945611X-
dc.identifier.issn1605-7422-
dc.identifier.urihttp://hdl.handle.net/2440/28540-
dc.description© 2005 COPYRIGHT SPIE--The International Society for Optical Engineering-
dc.description.abstractGene networks are composed of many different interacting genes and gene products (RNAs and proteins). They can be thought of as switching regions in n-dimensional space or as mass-balanced signaling networks. Both approaches allow for describing gene networks with the limited quantitative or even qualitative data available. We show how these approaches can be used in modeling the apoptosis gene network that has a vital role in tumor development. The open question is whether engineering changes to this network could be used as a possible cancer treatment.-
dc.description.statementofresponsibilityMatthew J. Berryman, Andrew Allison, and Derek Abbott-
dc.language.isoen-
dc.publisherSPIE-
dc.relation.ispartofseriesProceedings of SPIE--the International Society for Optical Engineering ; 5651.-
dc.source.urihttp://dx.doi.org/10.1117/12.582096-
dc.titleGene network analysis and design-
dc.typeConference paper-
dc.contributor.conferenceBiomedical Applications of Micro- and Nanoengineering (2nd : 2004 : Sydney, Australia)-
dc.identifier.doi10.1117/12.582096-
dc.publisher.placeBellingham, Washington-
pubs.publication-statusPublished-
dc.identifier.orcidAllison, A. [0000-0003-3865-511X]-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
Appears in Collections:Aurora harvest 2
Electrical and Electronic Engineering publications

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