Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/13267
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dc.contributor.authorAl-Enezi, J-
dc.contributor.authorAbbod, MF-
dc.contributor.authorAl-Sharhan, S-
dc.date.accessioned2016-09-30T14:33:39Z-
dc.date.available2011-12-01-
dc.date.available2016-09-30T14:33:39Z-
dc.date.issued2011-
dc.identifier.citationProceedings - 4th International Conference on Developments in eSystems Engineering, DeSE 2011, 2011, pp. 168 - 171en_US
dc.identifier.isbn978-1-4577-2186-1-
dc.identifier.urihttp://ieeexplore.ieee.org/document/6149934/-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/13267-
dc.description.abstractArtificial Immune System (AIS) is a branch of computational intelligence that has gained increasing interest among researchers in the development of immune-based models and techniques to solve diverse complex computational problems. This work focuses on the application of AIS techniques to cancer research and specifically for prediction of the recurrence of cancer in patients. The objective is to test AIS models and algorithms for cancer research by validation against actual cancer datasets. © 2011 IEEE.en_US
dc.format.extent168 - 171-
dc.language.isoenen_US
dc.subjectNegative selectionen_US
dc.subjectArtificial immune systemsen_US
dc.subjectArtificial immune networksen_US
dc.subjectClonal selectionen_US
dc.titleArtificial immune systems applications in cancer researchen_US
dc.typeConference Paperen_US
dc.identifier.doihttp://dx.doi.org/10.1109/DeSE.2011.36-
dc.relation.isPartOfProceedings - 4th International Conference on Developments in eSystems Engineering, DeSE 2011-
pubs.publication-statusPublished-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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