Inferring subnetworks from perturbed expression profiles

@article{Peer2001InferringSF,
  title={Inferring subnetworks from perturbed expression profiles},
  author={Dana Pe’er and Aviv Regev and Gal Elidan and Nir Friedman},
  journal={Bioinformatics},
  year={2001},
  volume={17 Suppl 1},
  pages={
          S215-24
        }
}
  • Dana Pe’er, Aviv Regev, +1 author Nir Friedman
  • Published in ISMB 2001
  • Computer Science, Medicine
  • Bioinformatics
  • Genome-wide expression profiles of genetic mutants provide a wide variety of measurements of cellular responses to perturbations. Typical analysis of such data identifies genes affected by perturbation and uses clustering to group genes of similar function. In this paper we discover a finer structure of interactions between genes, such as causality, mediation, activation, and inhibition by using a Bayesian network framework. We extend this framework to correctly handle perturbations, and to… CONTINUE READING

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    Being Bayesian about Bayesian network structure: A Bayesian approach to structure discovery in Bayesian networks

    • N. Friedman, D. Koller
    • Machine Learning. To appear. Earlier version appeared in UAI’00.
    • 2001
    VIEW 2 EXCERPTS