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Entropy-based analysis of the non-linear relationship between gene expression profiles of amplified and non-amplified RNA

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dc.contributor.author라선영-
dc.contributor.author양상화-
dc.contributor.author정현철-
dc.date.accessioned2014-12-21T16:41:53Z-
dc.date.available2014-12-21T16:41:53Z-
dc.date.issued2007-
dc.identifier.issn1107-3756-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/96180-
dc.description.abstractTwo critical issues in microarray-based gene expression profiling with amplified RNA are its reliability and reproducibility compared to the non-amplified RNA. In this study, the non-linear relationship between the two methods was evaluated with the entropy in addition to the linear relationship using correlation coefficients. The correlation coefficients within the amplification method and between the two methods were significantly high, 0.98 and 0.88, respectively. Comparing the entropy as increasing fold-change difference (k), the average entropy value was reduced to 0.02 in the cell line and 0.09 in the tissue samples, indicating that the number of different genes between the two methods was decreased. In addition, the threshold of k according to the percentage of p estimated from entropy values could be used to provide the cut-off line on gene selection. The quantity discordance rate of 0.3-5.47% and the common outlier proportion of 84.2-94.3% between the two methods were detected, according to the expression levels. In summary, we showed a high similarity between the two methods using non-linear as well as linear comparison. Furthermore, we proved that the entropy as the measure of non-linear relationship is useful for analyzing the similarity of replicated microarray data sets.-
dc.description.statementOfResponsibilityopen-
dc.format.extent905~912-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF MOLECULAR MEDICINE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHCell Line, Tumor-
dc.subject.MESHEntropy*-
dc.subject.MESHGene Expression Profiling*-
dc.subject.MESHHumans-
dc.subject.MESHNucleic Acid Amplification Techniques-
dc.subject.MESHOligonucleotide Array Sequence Analysis-
dc.subject.MESHRNA*/genetics-
dc.subject.MESHRNA*/metabolism-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHStatistics as Topic*-
dc.titleEntropy-based analysis of the non-linear relationship between gene expression profiles of amplified and non-amplified RNA-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학)-
dc.contributor.googleauthorJi Hye Shin-
dc.contributor.googleauthorChan Ho Park-
dc.contributor.googleauthorSun Young Rha-
dc.contributor.googleauthorHyun Cheol Chung-
dc.contributor.googleauthorSung Bae Cho-
dc.contributor.googleauthorSang Hwa Yang-
dc.contributor.googleauthorMin Young Seo-
dc.contributor.googleauthorSang Chul Kim-
dc.contributor.googleauthorYeon Ju Yang-
dc.identifier.doi10.3892/ijmm.20.6.905-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02288-
dc.contributor.localIdA03773-
dc.contributor.localIdA01316-
dc.relation.journalcodeJ01132-
dc.identifier.eissn1791-244X-
dc.identifier.pmid17982701-
dc.identifier.urlhttp://www.spandidos-publications.com/ijmm/20/6/905-
dc.subject.keywordentropy-
dc.subject.keywordnon-linear relationship-
dc.subject.keywordcDNA microarray-
dc.subject.keywordRNA amplification-
dc.contributor.alternativeNameRha, Sun Young-
dc.contributor.alternativeNameYang, Sang Hwa-
dc.contributor.alternativeNameChung, Hyun Cheol-
dc.contributor.affiliatedAuthorYang, Sang Hwa-
dc.contributor.affiliatedAuthorChung, Hyun Cheol-
dc.contributor.affiliatedAuthorRha, Sun Young-
dc.rights.accessRightsnot free-
dc.citation.volume20-
dc.citation.number6-
dc.citation.startPage905-
dc.citation.endPage912-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, Vol.20(6) : 905-912, 2007-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
5. Research Institutes (연구소) > Cancer Metastasis Research Center (암전이연구센터) > 1. Journal Papers

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