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Activity Number:
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245
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Type:
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Invited
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Date/Time:
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Tuesday, August 5, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #300187 |
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Title:
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Pathways, Priors, Predictions: Network Inference in Cancer Systems Biology
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Author(s):
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Sachi N. Mukherjee*+
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Companies:
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University of Warwick
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Address:
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Department of Statistics, Coventry, CV47AL, United Kingdom
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Keywords:
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Systems biology ; Graphical models ; MCMC ; Cancer biology
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Abstract:
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The Mitogen-Activated Protein Kinase or MAPK pathway is a biochemical pathway which plays a central role in cellular decision-making. Aberrant functioning of the pathway is heavily implicated in a number of cancers. Although the MAPK system is one of the best studied biological networks, cancer-specific pathway features remain poorly characterized, and relatively little is known regarding isoform-specific connectivity. I will present a statistical approach to characterizing pathway connectivity in this setting, using a combination of biochemical data and biological prior knowledge. I will discuss some of the methodological aspects of the problem and go on to present results obtained from breast cancer data. I will also discuss some of the caveats of this type of analysis and highlight the rich opportunities and challenges for statistical research in cancer systems biology.
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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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