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Significant Gene Selection Using Integrated Microarray Data Set with Batch Effect

DC FieldValueLanguage
dc.contributor.author김기열-
dc.contributor.author라선영-
dc.contributor.author신지혜-
dc.contributor.author정현철-
dc.contributor.author정희철-
dc.date.accessioned2015-06-10T12:45:09Z-
dc.date.available2015-06-10T12:45:09Z-
dc.date.issued2006-
dc.identifier.issn1598-866X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/110381-
dc.description.abstractIn microarray technology, many diverse experimental features can cause biases including RNA sources, microarray production or different platforms, diverse sample processing and various experiment protocols. These systematic effects cause a substantial obstacle in the analysis of microarray data. When such data sets derived from different experimental processes were used, the analysis result was almost inconsistent and it is not reliable. Therefore, one of the most pressing challenges in the microarray field is how to combine data that comes from two different groups. As the novel trial to integrate two data sets with batch effect, we simply applied standardization to microarray data before the significant gene selection. In the gene selection step, we used new defined measure that considers the distance between a gene and an ideal gene as well as the between-slide and within-slide variations. Also we discussed the association of biological functions and different expression patterns in selected discriminative gene set. As a result, we could confirm that batch effect was minimized by standardization and the selected genes from the standardized data included various expression pattems and the significant biological functions.-
dc.description.statementOfResponsibilityopen-
dc.format.extent110~117-
dc.relation.isPartOfGenomics & Informatics-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.titleSignificant Gene Selection Using Integrated Microarray Data Set with Batch Effect-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentMedical Research Center (임상의학연구센터)-
dc.contributor.googleauthorKim Ki-Yeol-
dc.contributor.googleauthorChung Hyun-Cheol-
dc.contributor.googleauthorJeung Hei-Cheul-
dc.contributor.googleauthorShin Ji-Hye-
dc.contributor.googleauthorKim Tae-Soo-
dc.contributor.googleauthorRha Sun-Young-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00337-
dc.contributor.localIdA02164-
dc.contributor.localIdA03773-
dc.contributor.localIdA01316-
dc.contributor.localIdA03794-
dc.relation.journalcodeJ00940-
dc.contributor.alternativeNameKim, Ki Yeol-
dc.contributor.alternativeNameRha, Sun Young-
dc.contributor.alternativeNameShin, Ji Hye-
dc.contributor.alternativeNameChung, Hyun Cheol-
dc.contributor.alternativeNameJeung, Hei Cheul-
dc.contributor.affiliatedAuthorKim, Ki Yeol-
dc.contributor.affiliatedAuthorShin, Ji Hye-
dc.contributor.affiliatedAuthorChung, Hyun Cheol-
dc.contributor.affiliatedAuthorRha, Sun Young-
dc.contributor.affiliatedAuthorJeung, Hei Cheul-
dc.rights.accessRightsfree-
dc.citation.volume4-
dc.citation.number3-
dc.citation.startPage110-
dc.citation.endPage117-
dc.identifier.bibliographicCitationGenomics & Informatics, Vol.4(3) : 110-117, 2006-
Appears in Collections:
1. College of Medicine (의과대학) > Medical Research Center (임상의학연구센터) > 1. Journal Papers
5. Research Institutes (연구소) > Cancer Metastasis Research Center (암전이연구센터) > 1. Journal Papers
5. Research Institutes (연구소) > Oral Cancer Research Institute (구강종양연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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