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dc.contributor.authorHuang, HDen_US
dc.contributor.authorHorng, JTen_US
dc.contributor.authorChang, CHen_US
dc.contributor.authorTsou, TSen_US
dc.contributor.authorHong, JYen_US
dc.contributor.authorLiu, BJen_US
dc.date.accessioned2014-12-08T15:37:23Z-
dc.date.available2014-12-08T15:37:23Z-
dc.date.issued2004-11-01en_US
dc.identifier.issn1016-2364en_US
dc.identifier.urihttp://hdl.handle.net/11536/25707-
dc.description.abstractThe availability of genome-wide gene expression data provides a unique set of genes from which to decipher the mechanisms underlying the common transcriptional response. A set of transcription factors which bind to target sites regulate the gene transcription cooperatively. This motivates us to discover the site associations of known transcription factor binding sites and certain repetitive elements. Those over-represented repetitive elements in the promoter regions of functionally related genes are predicted as putative regulatory elements. The study is to analyze how the differential site associations of the known regulatory sites and putative regulatory elements are distributed in the promoter regions of groups of functionally related genes. The functional-specific site associations are discovered by a statistical approach and the over-represented repetitive elements involving in the site associations are possible to be transcription factor binding sites. The site associations facilitate to predict functional-specific putative regulatory elements and to identify genes potentially co-regulated by the putative regulatory elements. Our proposed approach is applied to Saccharomyces cerevisiae and the promoter regions of yeast ORFs.en_US
dc.language.isoen_USen_US
dc.subjectregulatory siteen_US
dc.subjecttranscription factoren_US
dc.subjectyeasten_US
dc.subjectdata miningen_US
dc.subjectpromoteren_US
dc.titleA computational approach to discover differential cooperation of regulatory sites in functionally related genes in yeast genomeen_US
dc.typeArticleen_US
dc.identifier.journalJOURNAL OF INFORMATION SCIENCE AND ENGINEERINGen_US
dc.citation.volume20en_US
dc.citation.issue6en_US
dc.citation.spage1141en_US
dc.citation.epage1159en_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000225329700008-
dc.citation.woscount2-
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