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Updated: Jul 17, 2026

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
Published on: May 31, 2011
Clustering of genes into regulons using integrated modeling-COGRIM
Guang Chen1, Shane T Jensen, Christian J Stoeckert
1Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. ggchen@pcbi.upenn.edu
Abstract:
We present a Bayesian hierarchical model and Gibbs Sampling implementation that integrates gene expression, ChIP binding, and transcription factor motif data in a principled and robust fashion. COGRIM was applied to both unicellular and mammalian organisms under different scenarios of available data. In these applications, we demonstrate the ability to predict gene-transcription factor interactions with reduced numbers of false-positive findings and to make predictions beyond what is obtained when single types of data are considered.
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