Babur, ÖzgünDemir, EmekGönen, M.Sander, C.Doğrusöz, Uğur2016-02-082016-02-082010-09-010305-1048http://hdl.handle.net/11693/22321Proteins 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.EnglishAndrogen receptorTranscription factorGene activationGene expression profilingGene expression regulationGene repressionGene targetingPriority journalProbabilityProtein functionStatistical analysisBiological modelEvaluation studyGenetic transcriptionMetabolismProtein analysisArticle10.1093/nar/gkq2871362-4962