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dc.contributor.authorPang, Wei
dc.contributor.authorCoghill, George M
dc.date.accessioned2015-01-07T12:00:01Z
dc.date.available2015-01-07T12:00:01Z
dc.date.issued2014
dc.identifier.citationPang , W & Coghill , G M 2014 , An immune network approach to learning qualitative models of biological pathways . in 2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014) . IEEE Press , pp. 1030-1037 . https://doi.org/10.1109/CEC.2014.6900393en
dc.identifier.isbn978-1-4799-6626-4
dc.identifier.otherPURE: 32496595
dc.identifier.otherPURE UUID: ec776c47-4873-44d8-b680-65739c3af60e
dc.identifier.otherScopus: 84908565984
dc.identifier.otherORCID: /0000-0002-1761-6659/work/59923320
dc.identifier.otherORCID: /0000-0002-2047-8277/work/63561572
dc.identifier.urihttp://hdl.handle.net/2164/4144
dc.descriptionACKNOWLEDGMENT GMC is supported by the CRISP project (Combinatorial Responses In Stress Pathways) funded by the BBSRC (BB/F00513X/1) under the Systems Approaches to Biological Research (SABR) Initiative. WP and GMC are also supported by the partnership fund from dot.rural, RCUK Digital Economy research.en
dc.format.extent8
dc.language.isoeng
dc.publisherIEEE Press
dc.relation.ispartof2014 IEEE Congress on Evolutionary Computation (IEEE CEC 2014)en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subject.lccQA75en
dc.titleAn immune network approach to learning qualitative models of biological pathwaysen
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.contributor.institutionUniversity of Aberdeen.University of Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.Computer Science and Informaticsen
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1109/CEC.2014.6900393
dc.date.embargoedUntil2014-12-18


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