Discovering modulators of gene expression
buir.contributor.author | Babur, Özgün | |
buir.contributor.author | Demir, Emek | |
buir.contributor.author | Doğrusöz, Uğur | |
dc.citation.epage | 5656 | en_US |
dc.citation.issueNumber | 17 | en_US |
dc.citation.spage | 5648 | en_US |
dc.citation.volumeNumber | 38 | en_US |
dc.contributor.author | Babur, Özgün | en_US |
dc.contributor.author | Demir, Emek | en_US |
dc.contributor.author | Gönen, M. | en_US |
dc.contributor.author | Sander, C. | en_US |
dc.contributor.author | Doğrusöz, Uğur | en_US |
dc.date.accessioned | 2016-02-08T09:58:36Z | |
dc.date.available | 2016-02-08T09:58:36Z | |
dc.date.issued | 2010-09-01 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.department | Bilkent Center for Bioinformatics (BCBI) | |
dc.description.abstract | Proteins 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.description.provenance | Made available in DSpace on 2016-02-08T09:58:36Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010 | en |
dc.identifier.doi | 10.1093/nar/gkq287 | en_US |
dc.identifier.eissn | 1362-4962 | en_US |
dc.identifier.issn | 0305-1048 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/22321 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Oxford University Press | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1093/nar/gkq287 | en_US |
dc.source.title | Nucleic Acids Research | en_US |
dc.subject | Androgen receptor | en_US |
dc.subject | Transcription factor | en_US |
dc.subject | Gene activation | en_US |
dc.subject | Gene expression profiling | en_US |
dc.subject | Gene expression regulation | en_US |
dc.subject | Gene repression | en_US |
dc.subject | Gene targeting | en_US |
dc.subject | Priority journal | en_US |
dc.subject | Probability | en_US |
dc.subject | Protein function | en_US |
dc.subject | Statistical analysis | en_US |
dc.subject | Biological model | en_US |
dc.subject | Evaluation study | en_US |
dc.subject | Genetic transcription | en_US |
dc.subject | Metabolism | en_US |
dc.subject | Protein analysis | en_US |
dc.title | Discovering modulators of gene expression | en_US |
dc.type | Article | en_US |
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