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Robust Processing of Microarray Data by Independent Component Analysis

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Computational Intelligence and Bioinspired Systems (IWANN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3512))

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Abstract

Microarray Data Processing is becoming a field of important activity for Signal Processing and Pattern Recognition areas, as the extraction and mining of meaningful data from large groupings of microarray patterns is of vital importance in Medicine, Genomics, Proteomics, Pharmacology, etc. In this paper emphasis is placed on studying and cataloging the nature of possible sources of corruption of microarray data and in establishing a pre-processing methodology for discriminating sources of corruption from microarray data (de-noising). We also discuss ways of precisely reconstructing original contributions (theoretically hybridized data) using ICA methods. Some classical examples are shown, and a discussion follows the presentation of results.

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Author information

Authors and Affiliations

  1. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660, Boadilla del Monte, Madrid, Spain

    Francisco Díaz, Raul Malutan, Pedro Gómez & Victoria Rodellar

  2. Dept. De Arquitectura y Tecnologia de Computadores, Universidad de Granada, Avenida Daniel Saucedo, E-18071, Granada, Spain

    Carlos G. Puntonet

Authors
  1. Francisco Díaz
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  2. Raul Malutan
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  3. Pedro Gómez
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  4. Victoria Rodellar
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  5. Carlos G. Puntonet
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Editor information

Editors and Affiliations

  1. Departamento de Ingeniería Electrónica, Universitat Politècnica de Catalunya (UPC). E.T.S.I. de Telecomunicación, Campus Norte, Edificio C4, C/ Jordi Girona, 1-3, E08034, Barcelona, Spain

    Joan Cabestany

  2. Department of Computer Architecture and Computer Technology, University of Granada,  

    Alberto Prieto

  3. Grupo ISIS, Dpto. Tecnología Electrónica ETSI Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain

    Francisco Sandoval

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© 2005 Springer-Verlag Berlin Heidelberg

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Díaz, F., Malutan, R., Gómez, P., Rodellar, V., Puntonet, C.G. (2005). Robust Processing of Microarray Data by Independent Component Analysis. In: Cabestany, J., Prieto, A., Sandoval, F. (eds) Computational Intelligence and Bioinspired Systems. IWANN 2005. Lecture Notes in Computer Science, vol 3512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11494669_129

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  • DOI: https://doi.org/10.1007/11494669_129

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26208-4

  • Online ISBN: 978-3-540-32106-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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