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Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks

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Research in Computational Molecular Biology (RECOMB 2015)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9029))

Abstract

Complex biological systems have been successfully modeled by biochemical and genetic interaction networks, typically gathered from high-throughput (HTP) data. These networks can be used to infer functional relationships between genes or proteins.

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References

  1. Cao, M., et al.: New directions for diffusion-based network prediction of protein function: incorporating pathways with confidence. Bioinformatics 30(12), i219–i227 (2014)

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  2. Mostafavi, S., et al.: GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function. Genome Biol 9, S1–S4 (2008)

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  3. Milenkoviæ, T., Pržulj, N.: Uncovering biological network function via graphlet degree signatures. Cancer Informatics 6, 257 (2008)

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Author information

Authors and Affiliations

  1. Computer Science and Artificial Intelligence Laboratory, MIT, Cambridge, MA, USA

    Hyunghoon Cho, Bonnie Berger & Jian Peng

  2. Department of Mathematics, MIT, Cambridge, MA, USA

    Bonnie Berger & Jian Peng

  3. Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA

    Jian Peng

Authors
  1. Hyunghoon Cho
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  2. Bonnie Berger
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  3. Jian Peng
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Corresponding authors

Correspondence to Bonnie Berger or Jian Peng .

Editor information

Editors and Affiliations

  1. National Center of Biotechnology Information, Bethesda, Maryland, USA

    Teresa M. Przytycka

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© 2015 Springer International Publishing Switzerland

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Cho, H., Berger, B., Peng, J. (2015). Diffusion Component Analysis: Unraveling Functional Topology in Biological Networks. In: Przytycka, T. (eds) Research in Computational Molecular Biology. RECOMB 2015. Lecture Notes in Computer Science(), vol 9029. Springer, Cham. https://doi.org/10.1007/978-3-319-16706-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-16706-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16705-3

  • Online ISBN: 978-3-319-16706-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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