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Rough Sets for Insilico Identification of Differentially Expressed miRNAs

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Scalable Pattern Recognition Algorithms

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Abstract

The microRNAs or miRNAs regulate expression of a gene or protein. It has been observed that they play an important role in various cellular processes and thus help in carrying out normal functioning of a cell. However, dysregulation of miRNAs is found to be a major cause of a disease. Various studies have also shown the role of miRNAs in cancer and utility of miRNAs for the diagnosis of cancer. In this regard, this chapter presents a new approach for selecting miRNAs from microarray expression data. It integrates the merit of rough set-based feature selection algorithm reported in Chap. 4 and theory of B.632+ bootstrap error rate. The effectiveness of the new approach, along with a comparison with other algorithms, is demonstrated on several miRNA data sets.

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Authors and Affiliations

  1. Indian Statistical Institute, Kolkata, West Bengal, India

    Pradipta Maji & Sushmita Paul

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  1. Pradipta Maji
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  2. Sushmita Paul
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Correspondence to Pradipta Maji .

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Maji, P., Paul, S. (2014). Rough Sets for Insilico Identification of Differentially Expressed miRNAs. In: Scalable Pattern Recognition Algorithms. Springer, Cham. https://doi.org/10.1007/978-3-319-05630-2_7

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  • DOI: https://doi.org/10.1007/978-3-319-05630-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05629-6

  • Online ISBN: 978-3-319-05630-2

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