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.
Original language | English (US) |
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Article number | gkq287 |
Pages (from-to) | 5648-5656 |
Number of pages | 9 |
Journal | Nucleic acids research |
Volume | 38 |
Issue number | 17 |
DOIs | |
State | Published - May 13 2010 |
Externally published | Yes |
ASJC Scopus subject areas
- Genetics