km2gcn

km2gcn is an R package that enhances the widely used Weighted Gene Co-expression Network Analysis (WGCNA) by incorporating k-means clustering as an additional processing step. This method improves the partitioning of gene co-expression networks (GCNs) into clusters of genes, known as modules. The authors demonstrate that applying k-means clustering after the conventional WGCNA process results in better network partitions, as evidenced by fewer misplaced genes, increased counts of replicable clusters across different tissues, improved enrichment of Gene Ontology terms, and more accurate partitions in simulated data.

Topic

Statistics and probability;Gene expression;Biological networks

Detail

  • Operation: Gene expression clustering

  • Software interface: Library

  • Language: R

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: The UK Medical Research Council (MRC).

  • Input: -

  • Output: -

  • Contact: Juan A. Botía j.botia@ucl.ac.uk

  • Collection: -

  • Maturity: -

Publications

  • An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks.
  • Botía JA, et al. An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks. An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks. 2017; 11:47. doi: 10.1186/s12918-017-0420-6
  • https://doi.org/10.1186/s12918-017-0420-6
  • PMID: 28403906
  • PMC: PMC5389000

Download and documentation


< Back to DB search