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Weighted correlation network analysis

YZ Yan-hui Zhang
XS Xin-zhuan Su
JL Jian Li
JS Jia-jian Shi
LX Li-hua Xie
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Weighted correlation network analysis (WGCNA) is a systems biology method for finding co-expressed modules and hub genes [7]. Meta-analysis of data from two microarray studies can be performed using WGCNA to find repeatable, conserved, co-expressed gene modules [8]. The microarray datasets from similar platforms were preprocessed, and the comparability was assessed. Then, the data were subjected to WGCNA to identify functional modules. The highly conserved modules in the malaria-infected groups or control groups in the multicohort databases were identified separately, and functional analysis was subsequently performed using the clusterprofile R package.

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