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Chen G, et al.  (2007) Clustering of genes into regulons using integrated modeling-COGRIM. Genome Biol 8(1):R4

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.

Status: Published Type: Journal Article | Research Support, N.I.H., Extramural | Research Support, Non-U.S. Gov't PubMed ID: 17204163

Topics addressed in this paper

Number of different genes curated to this paper: 39

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Topics Topics not linked to Genes Genes linked to topics (#1 - 10 )
ABF1 ACE2 AFT1 BAS1 CAD1 CBF1 FKH1 FKH2 GAL4 GCN4
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Topics Genes linked to topics (#11 - 20 )
GCR1 GCR2 HAP2 HAP3 HAP4 HSF1 INO2 LEU3 MBP1 MCM1
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Topics Genes linked to topics (#21 - 30 )
MET31 MSN4 NDD1 PDR1 PHO4 PUT3 RAP1 REB1 RLM1 RME1
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Computational analysis blue ball blue ball blue ball blue ball blue ball blue ball blue ball blue ball blue ball blue ball
Jump to Summary Chart for:
  • To find other papers on a gene and topic, click on the colored ball in the appropriate box.
  • displays other papers with information about that topic for that gene.
  • displays other papers in SGD that are associated with that topic.
    The topic is addressed in these papers but does not describe a specific gene or chromosomal feature.
  • To go to the Locus page for a gene, click on the gene name.

Topics Genes linked to topics (#31 - 39 )
ROX1 SKN7 SMP1 STB1 STE12 SWI4 SWI5 SWI6 YAP1
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