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Clustering PPI Networks

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Book cover Summarizing Biological Networks

Part of the book series: Computational Biology ((COBO,volume 24))

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Abstract

Due to the availability of large-scale ppi networks, since the last decade significant research efforts have been invested in analyzing these networks in order to comprehend cellular organization and functioning [1].

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Notes

  1. 1.

    Cluster property of a vertex v with respect to any cluster k of density \(\sigma _k\) and size \(|V_k|\) is the ratio of the total number of edges between v and each of the vertices of k to \(\sigma _k \times |V_k|\).

  2. 2.

    A bridging node in this work refers to a node having less than 3 degree but is connected to nodes with more than 15 degree.

  3. 3.

    The structural similarity of a pair of vertices is measured by normalizing the number of common neighbors with the geometric mean of the two neighborhoods’ size.

  4. 4.

    A cluster is considered significant if its \(min(p_i) < cutoff\). Otherwise, it is an insignificant cluster.

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  1. School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore

    Sourav S. Bhowmick & Boon-Siew Seah

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Bhowmick, S.S., Seah, BS. (2017). Clustering PPI Networks. In: Summarizing Biological Networks. Computational Biology, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-319-54621-6_3

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