ClusterM: a scalable algorithm for computational prediction of conserved protein complexes across multiple protein interaction networks
BMC Genom., pp. 6152020.
ClusterM can better capture the desired topological property of a typical conserved protein complex, which is densely connected within the complex while being well-separated from the rest of the networks. Furthermore, our experiments have shown that ClusterM is highly scalable and efficient when analyzing multiple PPI networks.
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