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A Survey of Classification Techniques for Microarray Data Analysis

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Handbook of Statistical Bioinformatics

Part of the book series: Springer Handbooks of Computational Statistics ((SHCS))

Abstract

With the recent advance of biomedical technology, a lot of ‘OMIC’ data from genomic, transcriptomic, and proteomic domain can now be collected quickly and cheaply. One such technology is the microarray technology which allows researchers to gather information on expressions of thousands of genes all at the same time. With the large amount of data, a new problem surfaces – how to extract useful information from them. Data mining and machine learning techniques have been applied in many computer applications for some time. It would be natural to use some of these techniques to assist in drawing inference from the volume of information gathered through microarray experiments. This chapter is a survey of common classification techniques and related methods to increase their accuracies for microarray analysis based on data mining methodology. Publicly available datasets are used to evaluate their performance.

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Author information

Authors and Affiliations

  1. Dana Farber Cancer Institute, 44 Binney Street, CLSB 11036, Boston, Massachusetts, 02115, USA

    Cheng Li

  2. Harvard School of Public Health, 677 Huntington Avenue, Boston, Massachusetts, 02115, USA

    Wai-Ki Yip

  3. Dana Farber Cancer Institute, 44 Binney Street, Boston, Massachusetts, 02115, USA

    Samir B. Amin

Authors
  1. Wai-Ki Yip
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  2. Samir B. Amin
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  3. Cheng Li
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Corresponding author

Correspondence to Cheng Li .

Editor information

Editors and Affiliations

  1. , Institute of Statistics, National Chiao Tung University, Ta Hsueh Road 1001, Hsinchu, 30050, Taiwan, Taiwan R.O.C.

    Henry Horng-Shing Lu

  2. , Department of Empirical Inference, MPI for Intelligent Systems, Spemannstraße 38, Tübingen, 72076, Germany

    Bernhard Schölkopf

  3. School of Medicine, Dept. Epidemiology & Public Health, Yale University, College Street 60, New Haven, 06520, Connecticut, USA

    Hongyu Zhao

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© 2011 Springer-Verlag Berlin Heidelberg

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Yip, WK., Amin, S.B., Li, C. (2011). A Survey of Classification Techniques for Microarray Data Analysis. In: Lu, HS., Schölkopf, B., Zhao, H. (eds) Handbook of Statistical Bioinformatics. Springer Handbooks of Computational Statistics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16345-6_10

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