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An Overview of Weighted Gene Co-Expression Network Analysis

Steve Horvath
Associate Professor
  Biostatistics and Human Genetics,
University of California, Los Angeles

Thursday, April 19
12:00 pm
5275 MSC

 

ABSTRACT

Weighted gene co-expression network analysis (WGCNA) facilitates a
systems biologic view of gene expression data. The network framework makes it straightforward to integrate gene expression data with other types of data, e.g. clinical traits, proteomics data or genetic markermdata. This talk covers several theoretical topics including network construction, module definition, network based gene screening, and differential network analysis.  The methods are illustrated using several applications including i) screening for cancer genes, ii) characterizing obesity related genes in mice, iii) comparing human and chimp brains, and iv) complex disease gene mapping.

Related articles and material can be found at the following webpage
http://www.genetics.ucla.edu/labs/horvath/CoexpressionNetwork/

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