Full metadata record

DC FieldValueLanguage
dc.contributor.author이제영ko
dc.contributor.author배재영ko
dc.date.accessioned2015-12-17T02:03:57Z-
dc.date.available2015-12-17T02:03:57Z-
dc.date.created2015-11-29-
dc.date.issued201211-
dc.identifier.citationCommunications for Statistical Applications and Methods, v.19, no.6, pp.799 - 808-
dc.identifier.issn2287-7843-
dc.identifier.urihttp://hdl.handle.net/YU.REPOSITORY/26914-
dc.description.abstractIt is known that human disease and the economic traits of livestock are significantly affected by a gene combination effect rather than a single gene effect. Existing methods to study this gene combination effect have disadvantages such as heavy computing, cost and time; therefore, to overcome those drawbacks, the SNPHarvester was developed to find the main gene combinations. In this paper, we looked for gene combinations using an adjusted linear regression model. This research finds that superior gene combinations which are related to the quality of the Korean beef cattle among sets of SNPs using SNPHarvester. We also identify the superior genotypes using a decision tree that can enhance the various qualities of Korean beef among selected a SNP combination.-
dc.publisher한국통계학회-
dc.subjectCART-
dc.subjectGenotype-
dc.subjectk-means-
dc.subjectSNPHarvester.-
dc.titleMain Gene Combinations and Genotype Identification of Hanwoo Quality with SNPHarvester-
dc.typeArticle-
dc.identifier.kciidART001713897-
Appears in Collections:
이과대학 > 통계학과 > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE