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Differential Functional Summarization

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Summarizing Biological Networks

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

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Abstract

In the preceding chapters, we have focused our discussions on clustering and summarizing static biological networks.

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Notes

  1. 1.

    The topology of the differential network can be mined to identify gene clusters using techniques such as [8,9,10].

  2. 2.

    A function can also be associated with each cluster by leveraging a functional enrichment technique [11].

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Authors and Affiliations

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

    Sourav S. Bhowmick & Boon-Siew Seah

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  1. Sourav S. Bhowmick
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  2. Boon-Siew Seah
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Correspondence to Sourav S. Bhowmick .

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Bhowmick, S.S., Seah, BS. (2017). Differential Functional Summarization. In: Summarizing Biological Networks. Computational Biology, vol 24. Springer, Cham. https://doi.org/10.1007/978-3-319-54621-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-54621-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54620-9

  • Online ISBN: 978-3-319-54621-6

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