Using MCL to extract clusters from networks.

@article{Dongen2012UsingMT,
  title={Using MCL to extract clusters from networks.},
  author={Stijn van Dongen and Cei Abreu-Goodger},
  journal={Methods in molecular biology},
  year={2012},
  volume={804},
  pages={
          281-95
        }
}
MCL is a general purpose cluster algorithm for both weighted and unweighted networks. The algorithm utilises network topology as well as edge weights, is highly scalable and has been applied in a wide variety of bioinformatic methods. In this chapter, we give protocols and case studies for clustering of networks derived from, respectively, protein sequence similarities and gene expression profile correlations. 
BETA

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 90 CITATIONS, ESTIMATED 33% COVERAGE

FILTER CITATIONS BY YEAR

2012
2019

CITATION STATISTICS

  • 17 Highly Influenced Citations

  • Averaged 17 Citations per year over the last 3 years

  • 10% Increase in citations per year in 2018 over 2017

References

Publications referenced by this paper.
SHOWING 1-10 OF 28 REFERENCES

Similar Papers

Loading similar papers…