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Activity Number:
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142
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Type:
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Topic Contributed
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Date/Time:
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Monday, July 30, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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WNAR
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| Abstract - #309929 |
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Title:
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Connectivity, Module-Conformity, and Significance: Understanding Weighted Gene Coexpression Networks
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Author(s):
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Jun Dong*+ and Steve Horvath and Andy Yip
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Companies:
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University of California, Los Angeles and University of California, Los Angeles and National University of Singapore
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Address:
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Dept of Human Genetics, Los Angeles, CA, 90095,
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Keywords:
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connectivity ; hub gene ; clustering coe±cient ; eigengene ; co-expression network ; microarrays
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Abstract:
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Network concepts are increasingly used in biology and genetics. Here we study the relationship of important network concepts in gene coexpression module networks based on the transcriptional response of cells to changing conditions. The main goal of this paper is to explain the meaning of intramodular connectivity and other network concepts in terms of the underlying gene expression profiles. We present theoretical and empirical results that show how intramodular connectivity and several other network concepts are related to properties of the module eigengene. Our theoretical results allow us to characterize modules where hub genes will be highly correlated with an external microarray sample trait, and are applicable to any network that is comprised of highly correlated genes (e.g., a gene coexpression module). We illustrate our results with a brain cancer coexpression network.
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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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