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Modeling Genetic Regulatory Networks using Gene Expression Profiling and State Space
 

Summary: 8
Modeling Genetic Regulatory Networks using
Gene Expression Profiling and State Space
Models
Claudia Rangel1
, John Angus1
, Zoubin Ghahramani2
, and David L. Wild3
1
Claremont Graduate University, 121 E. Tenth St., Claremont, CA 91711, USA
claudia.rangel@cgu.edu john.angus@cgu.edu
2
Gatsby Computational Neuroscience Unit, University College London, UK
zoubin@gatsby.ucl.ac.uk
3
Keck Graduate Institute, 535 Watson Drive, Claremont CA 91711, USA
david wild@kgi.edu
Summary. We describe a Bayesian network approach to infer genetic regulatory
interactions from microarray gene expression data. This problem was introduced in
Chap. 6 and an alternative Bayesian network approach was presented in Chap. 7.

  

Source: Angus, John - School of Mathematical Sciences, Claremont Graduate University

 

Collections: Mathematics