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dc.contributor.authorBabur, Ö.en_US
dc.contributor.authorDemir, E.en_US
dc.contributor.authorGönen, M.en_US
dc.contributor.authorSander, C.en_US
dc.contributor.authorDogrusoz, U.en_US
dc.date.accessioned2016-02-08T09:58:36Z
dc.date.available2016-02-08T09:58:36Z
dc.date.issued2010en_US
dc.identifier.issn0305-1048
dc.identifier.urihttp://hdl.handle.net/11693/22321
dc.description.abstractProteins that modulate the activity of transcription factors, often called modulators, play a critical role in creating tissue- and context-specific gene expression responses to the signals cells receive. GEM (Gene Expression Modulation) is a probabilistic framework that predicts modulators, their affected targets and mode of action by combining gene expression profiles, protein-protein interactions and transcription factor-target relationships. Using GEM, we correctly predicted a significant number of androgen receptor modulators and observed that most modulators can both act as co-activators and co-repressors for different target genes. © The Author(s) 2010. Published by Oxford University Press.en_US
dc.language.isoEnglishen_US
dc.source.titleNucleic Acids Researchen_US
dc.relation.isversionofhttp://dx.doi.org/10.1093/nar/gkq287en_US
dc.subjectAndrogen receptoren_US
dc.subjectTranscription factoren_US
dc.subjectGene activationen_US
dc.subjectGene expression profilingen_US
dc.subjectGene expression regulationen_US
dc.subjectGene repressionen_US
dc.subjectGene targetingen_US
dc.subjectPriority journalen_US
dc.subjectProbabilityen_US
dc.subjectProtein functionen_US
dc.subjectStatistical analysisen_US
dc.subjectBiological modelen_US
dc.subjectEvaluation studyen_US
dc.subjectGenetic transcriptionen_US
dc.subjectMetabolismen_US
dc.subjectProtein analysisen_US
dc.titleDiscovering modulators of gene expressionen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage5648en_US
dc.citation.epage5656en_US
dc.citation.volumeNumber38en_US
dc.citation.issueNumber17en_US
dc.identifier.doi10.1093/nar/gkq287en_US
dc.publisherOxford University Pressen_US


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