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Bayesian Networks for Modeling Gene Regulatory Pathways in the Human Placenta

This study explores the use of Bayesian networks in modeling gene regulatory pathways in the human placenta, with a focus on the EGFR gene and its regulatory genes.

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Bayesian Networks for Modeling Gene Regulatory Pathways in the Human Placenta

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  1. Elinor Velasquez San Francisco State University Department of Biology Bayesian Networks for Genome Expression: A Bayesian Statistical Approach to Modeling Gene Regulatory Pathways in the Human Placenta

  2. Gene Regulatory Pathways REGULATOR GENE

  3. Modeling a Gene Regulatory Pathways as a Bayesian Network Gene 1 Gene 2 Gene 3 Gene 6 Gene 4 Gene 5

  4. Summary of the Method • Time-series microarray data • Construct a naïve Bayes network via Weka • Change network using K2 and hill-climbing algorithms via Weka • Finalize network http://www.biochem.arizona.edu/classes/bioc471/pages/Lecture21/Lecture21.html

  5. Epidermal Growth Factor Receptor in the Human Placenta Egfr gene is regulated by the following genes:

  6. Acknowledgements • Leticia Márquez-Magaña and laboratory members (San Francisco State University) • Susan J. Fisher (U.C. San Francisco) • Matthew Gormley (U.C. San Francisco) • N.I.H. M.B.R.S.-R.I.S.E. Grant 5 - R25-GM59298

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