Research Article

Reducing the Complexity of Complex Gene Coexpression Networks by Coupling Multiweighted Labeling with Topological Analysis

Figure 1

Example of construction of a MWNET. Expression data in this example are not from real experiments. They are simply used to show the process required to construct a MWNET starting from raw expression data.
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(a) Raw preprocessed microarray expression levels for 4 genes , 6 samples , and 2 conditions
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(b) Gene expression matrix for the considered dataset reporting the normalized differential expression level of each gene in each sample. Red cells indicate overexpressed genes; green cells indicate silenced genes. When constructing the GEM, the expression threshold has been set to . is the mean and is the standard deviation of all the genes of the sample
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(c) MWNET representing the dataset