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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/6296
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dc.contributor.authorChen, Yin (陳寅)en_US
dc.contributor.authorXu, Xiaoya (徐小雅)en_US
dc.contributor.authorZhang, Wenping (張文平)en_US
dc.date.accessioned2011-07-08T10:32:36Z
dc.date.accessioned2017-09-19T09:18:54Z
dc.date.accessioned2019-02-12T08:40:39Z-
dc.date.available2011-07-08T10:32:36Z
dc.date.available2017-09-19T09:18:54Z
dc.date.available2019-02-12T08:40:39Z-
dc.date.issued2010-12en_US
dc.identifier.othermeem2010-004en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/6296-
dc.description.abstractIn this paper, F-Scores methodology and image processing are used to prove a characterization of the Oncogene Selection. We have experiments result of Correct Rate of F-scores, and illustrate experiment result of Oncogene Selection model. This result extends two recent characterizations of feature selection for gene to diagnose Cancer which perform as well, if not better, than other assessment characteristic for colorectal cancer classification.en_US
dc.subjectgene mutation identificationen_US
dc.subjectSVMen_US
dc.subjectF-Scoresen_US
dc.subjectOncogene Selectionen_US
dc.subjectimage processingen_US
dc.titleThe early detection of mutated genes that can cause colorectal canceren_US
dc.typeArticleen_US
dc.contributor.departmentDepartment of Manufacturing Engineering and Engineering Management (Chan Yin); Department of Computer Science (Xu Xiaoya); Department of Information Systems (Zhang Wenping)en_US
dc.description.awardWon the First Class Award in the 7th National Postgraduate Mathematics Contest in Modelling organized by the Contest committee in 2010en_US
Appears in Collections:Student Works With External Awards 

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