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dc.contributor.authorSharma, Aloken_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.date.accessioned2017-04-24T10:06:36Z
dc.date.available2017-04-24T10:06:36Z
dc.date.issued2012en_US
dc.date.modified2013-06-03T01:25:08Z
dc.identifier.issn15469239en_US
dc.identifier.urihttp://hdl.handle.net/10072/47190
dc.description.abstractIn this study, we propose a new feature (or gene) selection algorithm using Bayes classification approach. The algorithm can find gene subset crucial for cancer classification problem. Problem statement: Gene identification plays important role in human cancer classification problem. Several feature selection algorithms have been proposed for analyzing and understanding influential genes using gene expression profiles. Approach: The feature selection algorithms aim to explore genes that are crucial for accurate cancer classification and also endure biological significance. However, the performance of the algorithms is still limited. In this study, we propose a feature selection algorithm using Bayesian classification approach. Results: This approach gives promising results on gene expression datasets and compares favorably with respect to several other existing techniques. Conclusion: The proposed gene selection algorithm using Bayes classification approach is shown to find importanten_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherScience Publicationsen_US
dc.publisher.placeUnited Statesen_US
dc.publisher.urihttp://www.doaj.org/doaj?func=abstract&id=1138999&q1=A%20gene%20selection%20algorithm%20using%20Bayesian%20classification&f1=ti&b1=and&q2=&f2=all&recNo=1&uiLanguage=enen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom127en_US
dc.relation.ispartofpageto131en_US
dc.relation.ispartofissue1en_US
dc.relation.ispartofjournalAmerican Journal of Applied Sciencesen_US
dc.relation.ispartofvolume9en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchSignal Processingen_US
dc.subject.fieldofresearchcode090609en_US
dc.titleA gene selection algorithm using Bayesian classification approachen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2012
gro.hasfulltextNo Full Text


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