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Score Based Aggregation of microRNA Target Orderings

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Bioinformatics Research and Applications (ISBRA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 7292))

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Abstract

Rank aggregation refers to the task of combining different orderings of an identical set of objects to obtain a consensus ranked list. Other than meta-search in web mining, in last few years, this technique has successfully been employed to address problems arising from bioinformatics domain. Consensus ranking of disease related genes, miRNA targets are ample examples in this context. It can be argued that scores are more informative than mere ranks. Existing score based aggregation techniques are evolutionary in nature and consume significant amount of time. We, for the first time propose a Markov chain for score based aggregation ranked lists. The proposed method is found out-performing the existing methods in terms of time consumption (by far) and performance when used in context of microRNA (miRNA) target ranking. The supplementary materials are uploaded at: http://www.isical.ac.in/~bioinfo_miu/rankfuse.rar

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Author information

Authors and Affiliations

  1. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India

    Debarka Sengupta & Sanghamitra Bandyopadhyay

  2. Dept. of Comp. Sc. and Eng., Jadavpur University, Kolkata, India

    Ujjwal Maulik

Authors
  1. Debarka Sengupta
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  2. Ujjwal Maulik
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  3. Sanghamitra Bandyopadhyay
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Editor information

Editors and Affiliations

  1. Departments of Bioengineering and Electrical Engineering, University of Texas at Dallas, 75080, Richardson, TX, USA

    Leonidas Bleris

  2. Department of Computer Science and Engineering, University of Connecticut, 06269, Storrs, CT, USA

    Ion Măndoiu

  3. Department of Biological Sciences, Carnegie Mellon University, 15213, Pittsburgh, PA, USA

    Russell Schwartz

  4. School of Information Science and Engineering, Central South University, 410083, Changsha, China

    Jianxin Wang

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© 2012 Springer-Verlag Berlin Heidelberg

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Sengupta, D., Maulik, U., Bandyopadhyay, S. (2012). Score Based Aggregation of microRNA Target Orderings. In: Bleris, L., Măndoiu, I., Schwartz, R., Wang, J. (eds) Bioinformatics Research and Applications. ISBRA 2012. Lecture Notes in Computer Science(), vol 7292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30191-9_22

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  • DOI: https://doi.org/10.1007/978-3-642-30191-9_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30190-2

  • Online ISBN: 978-3-642-30191-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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