Nature Communications (Mar 2018)

A comprehensive evaluation of module detection methods for gene expression data

  • Wouter Saelens,
  • Robrecht Cannoodt,
  • Yvan Saeys

DOI
https://doi.org/10.1038/s41467-018-03424-4
Journal volume & issue
Vol. 9, no. 1
pp. 1 – 12

Abstract

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Modules composed of groups of genes with similar expression profiles tend to be functionally related and co-regulated. Here, Saelens et al evaluate the performance of 42 computational methods and provide practical guidelines for module detection in gene expression data.