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Data Mining for Bioinformatics — Microarray Data

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Bioinformatics: Applications in Life and Environmental Sciences

Abstract

Data could be of any form, symbolic or non-symbolic, continuous or discrete, spatial or non-spatial, it should be understood that whenever the data store becomes voluminous, it requires efficient algorithms to mine out required data as well as provide methods to answer various queries. Though the data analysis techniques are useful in almost all disciplines of study, greater emphasis is given in the area of bioinformatics for mining microarray gene expression data as well as gene sequence data. Considerable work is being done in preparation of protein arrays and corresponding visualization techniques.

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Authors and Affiliations

  1. Dept. of Computer Science & Engineering, Lingaya’s Institute of Management & Technology, Faridabad, 121 002, Haryana

    T.V. Prasad (Professor & Head)

  2. Department of Computer Science, Jamia Millia Islamia, New Delhi

    S.I. Ahson (Professor & Head)

Authors
  1. T.V. Prasad
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  2. S.I. Ahson
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Editors and Affiliations

  1. Department of Life Sciences, University of Mumbai, India

    M. H. Fulekar

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Prasad, T., Ahson, S. (2009). Data Mining for Bioinformatics — Microarray Data. In: Fulekar, M.H. (eds) Bioinformatics: Applications in Life and Environmental Sciences. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-8880-3_8

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