A study on Monte Carlo Gene Screening

  • Michał Dramiński
  • Jacek Koronacki
  • Jan Komorowski
Conference paper

DOI: 10.1007/3-540-32392-9_36

Part of the Advances in Soft Computing book series (AINSC, volume 31)
Cite this paper as:
Dramiński M., Koronacki J., Komorowski J. (2005) A study on Monte Carlo Gene Screening. In: Kłopotek M.A., Wierzchoń S.T., Trojanowski K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg

Abstract

In the paper, three conceptually simple but computer-intensive versions of an approach to selecting informative genes for classification are proposed. All of them rely on multiple construction of a tree classifier for many training sets randomly chosen from the original sample set, where samples in each training set consist of only a fraction of all of the genes. It is argued that the resulting ranking of genes can then be used to advantage for classification via a classifier of any type.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Michał Dramiński
    • 1
  • Jacek Koronacki
    • 1
  • Jan Komorowski
    • 2
  1. 1.Institute of Computer SciencePolish Academy of SciencesWarsawPoland
  2. 2.The Linnaeus Centre for BioinformaticsUppsala UniversityUppsalaSweden

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