Project H: Causal Modeling of Genetic Systems;Gary A Churchill (Jackson) Mathematical modeling is a defining feature of systems biology. Of the many available approaches to modeling, graphical models [117;118] are unique in their promise to reveal causal relationships and thus to predict response to perturbations based on the correlation structure of multivariate data. Directed graphical models can be inferred from genetic data using genotype as a causal anchor [119;120]. The questions posed here are whether these genotype-driven graphical models can make valid predictions of phenotype and to what extent do the inferred graphical structures reflect the underlying network of biochemical reactions.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center (P50)
Project #
5P50GM076468-09
Application #
8691881
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
9
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
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