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Activity Number:
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233
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biopharmaceutical Section
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| Abstract - #303668 |
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Title:
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A Semiparametric Copula Method on Building Oncology Association Network with Multiple Pathways, Genotypes, and Phenotypes
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Author(s):
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Le Bao and Zhou Zhu and Jingjing Ye*+
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Companies:
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University of Washington and Pfizer Inc. and Pfizer Inc.
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Address:
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, , ,
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Keywords:
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semiparametric ; copula ; association ; network construction ; pathway
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Abstract:
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The rapid accumulation of genomic profiling data presents a grand challenge in gaining insights into the relationship between molecular features and clinical phenotypes. Popular approaches such as GSEA are limited to hypothesis tests of bivariate association. However, a specific phenotype is often dependent upon multiple molecular features. It is thus worth considering all possible interactions jointly for a more precise and realistic representation of the cellular network. A semiparametric copula model is developed here to jointly model genotypes, pathways and phenotypes. A two-step procedure for network construction is described. Simulation studies indicate that the method is effective and accurate for the network reconstruction. Application using NCI60 cancer cell line data identifies several subsets of molecular features that jointly perform as the predictors of clinical phenotypes.
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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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