Bio med central

HIGHLIGHTS

• who: BioMed Central et al. from the University, Technologiepark, Ghent, Belgium, Department of Molecular Microbiology, VIB, Kasteelpark Arenberg, Leuven have published the paper: Bio Med Central, in the Journal: (JOURNAL)
• what: The authors show that ENIGMA outperforms other methods on artificial datasets using a quality criterion that unlike other criteria can be used for algorithms that generate overlapping clusters and that can be modified to take redundancy between clusters into account. The authors show that ENIGMA constitutes a valuable addition to the repertoire of methods to analyze such data. (page number not for citation purposes . . .
  

   

  

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