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dc.contributor.authorZhong, Y
dc.contributor.authorQuan, X
dc.contributor.authorYu, X
dc.contributor.authorGao, Q
dc.contributor.authorPeng, J
dc.date.accessioned2021-11-10T02:37:54Z
dc.date.available2021-11-10T02:37:54Z
dc.date.issued2016
dc.identifier.issn1473-8031en_US
dc.identifier.doi10.5013/IJSSST.a.17.15.05en_US
dc.identifier.urihttp://hdl.handle.net/10072/409989
dc.description.abstractIn this paper we introduce text categorization methods to address the classification problem of literature containing Quantitative Trait Locus, QTL information. Our work focused on building an automatic categorization system targeting the QTL information of various species based on Support Vector Machines, SVM. A text representation strategy is proposed combining words and phrases that effectively improve the classification accuracy. Through studying literature containing QTL information and other species-related publications, we determined representative phrases and detected abbreviations in order to form another set of features. Together with the words selected by Chi value, the two sets of features were both used to represent text samples. We employed a portion of particular species’ QTL-related literature data to conduct an experiment regarding the system’s construction, and then tested our system using the data of multiple plants and species. The experiment results indicate that our work may help further research on constructing QTL information databases.en_US
dc.publisherUnited Kingdom Simulation Societyen_US
dc.relation.ispartofpagefrom5.1en_US
dc.relation.ispartofpageto5.10en_US
dc.relation.ispartofissue15en_US
dc.relation.ispartofjournalInternational Journal of Simulation: Systems, Science and Technologyen_US
dc.relation.ispartofvolume17en_US
dc.titleAutomatic categorization of bioscience literature containing QTL informationen_US
dc.typeJournal articleen_US
dc.type.descriptionC2 - Articles (Other)en_US
dcterms.bibliographicCitationZhong, Y; Quan, X; Yu, X; Gao, Q; Peng, J, Automatic categorization of bioscience literature containing QTL information, International Journal of Simulation: Systems, Science and Technology, 2016, 17 (15), pp. 5.1-5.10en_US
dc.date.updated2021-11-10T02:25:21Z
gro.hasfulltextNo Full Text
gro.griffith.authorYu, Xiaohan


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