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dc.contributor.authorPaik, Hyojung
dc.contributor.authorRyu, Tae Woo
dc.contributor.authorHeo, Hyoungsam
dc.contributor.authorSeo, Seungwon
dc.contributor.authorLee, Doheon
dc.contributor.authorHur, Cheolgoo
dc.date.accessioned2015-08-03T09:03:59Z
dc.date.available2015-08-03T09:03:59Z
dc.date.issued2011-04-30
dc.identifier.issn19766696
dc.identifier.pmid21524350
dc.identifier.doi10.5483/BMBRep.2011.44.4.250
dc.identifier.urihttp://hdl.handle.net/10754/561760
dc.description.abstractIn multicellular organisms, including humans, understanding expression specificity at the tissue level is essential for interpreting protein function, such as tissue differentiation. We developed a prediction approach via generated sequence features from overrepresented patterns in housekeeping (HK) and tissue-specific (TS) genes to classify TS expression in humans. Using TS domains and transcriptional factor binding sites (TFBSs), sequence characteristics were used as indices of expressed tissues in a Random Forest algorithm by scoring exclusive patterns considering the biological intuition; TFBSs regulate gene expression, and the domains reflect the functional specificity of a TS gene. Our proposed approach displayed better performance than previous attempts and was validated using computational and experimental methods.
dc.publisherKorean Society for Biochemistry and Molecular Biology - BMB Reports
dc.subjectDomain
dc.subjectHousekeeping
dc.subjectRandom forest
dc.subjectTissue-specific
dc.subjectTranscription factor binding site
dc.titlePredicting tissue-specific expressions based on sequence characteristics
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalBMB Reports
dc.contributor.institutionPlant Systems Engineering Center, KRIBB, Daejeon, South Korea
dc.contributor.institutionDepartment of Bio and Brain Engineering, KAIST, Daejeon, South Korea
dc.contributor.institutionUniversity of Science and Technology (UST), Daejeon, South Korea
kaust.personRyu, Tae Woo


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