An Overview of Weighted Gene Co-Expression Network Analysis
Biostatistics and Human Genetics,
University of California, Los Angeles
Thursday, April 19
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
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