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Using mechanistic Bayesian networks to identify downstream targets of the Sonic Hedgehog pathway
Authors:Abhik Shah   Toyoaki Tenzen   Andrew P McMahon  Peter J Woolf
Affiliation:(1) Bioinformatics Program, University of Michigan, Ann Arbor, MI 48109, USA;(2) Stowers Medical Institute, Center for Regenerative Medicine, Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA 02114, USA;(3) Harvard Stem Cell Institute, Boston, MA 02114, USA;(4) Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA 02138, USA;(5) Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA;(6) Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA;(7) Department of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA
Abstract:

Background  

The topology of a biological pathway provides clues as to how a pathway operates, but rationally using this topology information with observed gene expression data remains a challenge.
Keywords:
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