# What are the advantages of using mutual information over Pearson correlation in network inference?

Does mutual information discriminate against fold change differences?

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See this question for the differences/advantages of using mutual information versus Pearson correlation or Spearman's rank:

Does mutual information discriminate against fold change differences?

If that's the variation measure you use for your correlation values, then that is assumed for the hypothesized network.

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