An empirical Bayesian method for estimating biological networks from temporal microarray data.

@article{Rau2010AnEB,
  title={An empirical Bayesian method for estimating biological networks from temporal microarray data.},
  author={Andrea Rau and Florence Jaffr{\'e}zic and Jean-Louis Foulley and R. W. Doerge},
  journal={Statistical applications in genetics and molecular biology},
  year={2010},
  volume={9},
  pages={Article 9}
}
Gene regulatory networks refer to the interactions that occur among genes and other cellular products. The topology of these networks can be inferred from measurements of changes in gene expression over time. However, because the measurement device (i.e., microarrays) typically yields information on thousands of genes over few biological replicates, these systems are quite difficult to elucidate. An approach with proven effectiveness for inferring networks is the Dynamic Bayesian Network. We… CONTINUE READING
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