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Activity Number:
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235
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #301354 |
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Title:
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Bayesian Methods for Models of Virus Production by Infected Cells
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Author(s):
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Cavan Reilly*+
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Companies:
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Universty of Minnesota
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Address:
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420 Delaware St SE, Minneapolis , MN, 55403,
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Keywords:
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Bayesian models ; prior information ; HIV/AIDS
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Abstract:
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In the early stages of SIV infections, productively infected resting memory CD4+ T cells comprise more than 90 percent of the productively infected cell population. While in snap-shots, the infected resting cells apparently produce much less virus than infected activated CD4+ T cells, the resting cells produce virus for longer periods of time. Here we develop models to account for these and other factors impacting the quantity of virus produced by a cell, and use Bayesian methods to conduct inference for this class of models. We are able to show that a substantial proportion of the virus that is measured in infected animals comes from the resting cells using only counts of infected cells surrounding samples drawn from each cell population and other estimates available in the literature.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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