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Title
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* ! Model-based Analyses of Large-scale Genetic and Genomic Data Through Numerical Likelihood Methods
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Date / Time / Room
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Sponsor
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Type
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08/13/2002
8:30 AM -
10:20 AM
Room: H-Petit Trianon
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Biometrics Section*, ENAR, Section on Government Statistics*, Section on Health Policy Statistics*, Section on Statistical Computing*
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Invited
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Organizer:
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Francesca Chiaromonte, Pennsylvania State University
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Chair:
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Xiangrong Yin, University of Georgia
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Discussant:
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9:55 AM - Matthew Stephens, University of Washington
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Floor Discussion
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10:10 AM
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Description
New techniques for sequencing, genetic typing, and high throughput expression measurement are making very large data sets available for genetic and genomic research. Stochastic modeling is paramount to making sense of much of the information. Here a group of young cross-disciplinary researchers present model-based analyses based on numerical likelihood methods.
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