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Iberian Conference on Pattern Recognition and Image Analysis

IbPRIA 2017: Pattern Recognition and Image Analysis pp 483–490Cite as

An Insight on the ‘Large G, Small n’ Problem in Gene-Expression Microarray Classification

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10255))

Abstract

This paper analyzes the effect of the high-dimensional, low-sample size problem in cancer classification using gene-expression microarrays. Here the two key questions addressed are: (i) What is the percentage of genes that can ensure highly accurate classification?, and (ii) Does this percentage differ from one classifier to another? Both these issues are investigated by developing a pool of experiments with two gene ranking algorithms, five classifiers and four DNA microarray databases.

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Acknowledgment

This work has partially been supported by the Spanish Ministry of Economy [TIN2013-46522-P], the Mexican PRODEP [DSA/103.5/15/7004], and the Generalitat Valenciana [PROMETEOII/2014/062].

Author information

Authors and Affiliations

  1. Multidisciplinary University Division, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, Mexico

    V. García & F. López-Orozco

  2. Department of Computer Languages and Systems, Institute of New Imaging Technologies, Universitat Jaume I, Castelló de la Plana, Spain

    J. S. Sánchez

  3. National Institute of Genomic Medicine, Ciudad de México, D.F., Mexico

    L. Cleofas-Sánchez

  4. Department of Electrical and Computer Engineering, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Chihuahua, Mexico

    H. J. Ochoa-Domínguez

Authors
  1. V. García
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  2. J. S. Sánchez
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  3. L. Cleofas-Sánchez
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  4. H. J. Ochoa-Domínguez
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  5. F. López-Orozco
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Corresponding author

Correspondence to J. S. Sánchez .

Editor information

Editors and Affiliations

  1. Universidade da Beira Interior , Covilhã, Portugal

    Luís A. Alexandre

  2. University Jaume I , Castellón, Spain

    José Salvador Sánchez

  3. University of the Algarve , Faro, Portugal

    João M. F. Rodrigues

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García, V., Sánchez, J.S., Cleofas-Sánchez, L., Ochoa-Domínguez, H.J., López-Orozco, F. (2017). An Insight on the ‘Large G, Small n’ Problem in Gene-Expression Microarray Classification. In: Alexandre, L., Salvador Sánchez, J., Rodrigues, J. (eds) Pattern Recognition and Image Analysis. IbPRIA 2017. Lecture Notes in Computer Science(), vol 10255. Springer, Cham. https://doi.org/10.1007/978-3-319-58838-4_53

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  • DOI: https://doi.org/10.1007/978-3-319-58838-4_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58837-7

  • Online ISBN: 978-3-319-58838-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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