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Discriminative Pattern Discovery on Biological Networks pp 9–20Cite as

Problems and Techniques

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Abstract

When biological networks are considered, the extraction of interesting knowledge often involves subgraphs isomorphism check that is known to be NP-complete. For this reason, many approaches try to simplify the problem under consideration by considering structures simpler than graphs, such as trees or paths. Furthermore, the number of existing approximate techniques is notably greater than the number of exact methods. In this chapter, we provide an overview of three important problems defined on biological networks: network alignment, network clustering, and motifs extraction from biological networks. For each of these problems, we also describe some of the most important techniques proposed to approach them.

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Author information

Authors and Affiliations

  1. University of Calabria, Calabria, Cosenza, Italy

    Fabio Fassetti

  2. University of Palermo, Palermo, Italy

    Simona E. Rombo

  3. University of Calabria, Calabria, Cosenza, Italy

    Cristina Serrao

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  1. Fabio Fassetti
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  2. Simona E. Rombo
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  3. Cristina Serrao
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Correspondence to Fabio Fassetti .

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Fassetti, F., Rombo, S.E., Serrao, C. (2017). Problems and Techniques. In: Discriminative Pattern Discovery on Biological Networks. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-63477-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-63477-7_2

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