Dense Subgraphs) is a
that implements a recursive graph clustering heuristic, which
is based on statistical significance of subgraph density.
Implementation of SiDeS is available in two different languages; in C and
in Java as a Cytoscape plug-in.
SiDeS is primarily designed for the identification of groups of proteins
that are likely to correspond to a modular process, such as a protein complex.
Since such proteins are likely to interact densely with each other, they are
expected to induce "unusually" dense subgraphs in the protein interaction network.
In SiDeS, statistical significance is used as a measure to evaluate the
interestingness of the density of a subgraph.
SiDeS can be used for any application that requires
clustering of the nodes of a graph based on subgraph density.