Reference : jClust: a clustering and visualization toolbox
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
http://hdl.handle.net/10993/17185
jClust: a clustering and visualization toolbox
English
Pavlopoulos, Georgios A. [> >]
Moschopoulos, Charalampos N. [> >]
Hooper, Sean D. [> >]
Schneider, Reinhard mailto [European Molecular Biology Laboratory - EMBL]
Kossida, Sophia [> >]
2009
Bioinformatics
Oxford University Press - Journals Department
25
15
1994-1996
Yes (verified by ORBilu)
International
1367-4803
1460-2059
Oxford
United Kingdom
[en] jClust is a user-friendly application which provides access to a set of widely used clustering and clique finding algorithms. The toolbox allows a range of filtering procedures to be applied and is combined with an advanced implementation of the Medusa interactive visualization module. These implemented algorithms are k-Means, Affinity propagation, Bron-Kerbosch, MULIC, Restricted neighborhood search cluster algorithm, Markov clustering and Spectral clustering, while the supported filtering procedures are haircut, outside-inside, best neighbors and density control operations. The combination of a simple input. le format, a set of clustering and filtering algorithms linked together with the visualization tool provides a powerful tool for data analysis and information extraction.
Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
http://hdl.handle.net/10993/17185

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