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Here you see general information about the clustering method.

Clustering Method 'MCODE' - General


Molecular COmplex DEtection (MCODE) is a graph based clustering method. In a first step the ’cliquishness’-score of all nodes is measured by taking into account the number of vertices and edges in the direct neighborhood. In a second step, clusters are built by starting at the vertex with the highest score followed by a recursive growing of these clusters by adding all neighboring nodes exceeding a certain score. MCODE may become extremely slow on large connected components in the similarity graph.

  • Publication: Gary D Bader and Christopher W V Hogue. An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinformatics, 4:2, Jan 2003.

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