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Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data

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Advances in Bioinformatics and Computational Biology (BSB 2005)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 3594))

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Abstract

This work investigates the behavior of two different clustering algorithms, with two proximity measures, in terms of the contents of the partitions obtained with them. An analysis of how the classes are separated by these algorithms, as different numbers of clusters are generated, is also presented. A discussion on the use of these information in the identification of special cases for further analysis by biologists is presented.

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Author information

Authors and Affiliations

  1. Instituto de Ciências Matemáticas e de Computação, Departamento de Ciências de Computação e Estatística, Universidade de São Paulo, Caixa Postal 668, 13560-970, São Carlos, SP, Brasil

    Katti Faceli & André C. P. L. F. de Carvalho

  2. Departamento de Informática e Matemática Aplicada – DIMAp, Universidade Federal do Rio Grande do Norte, Campus Universitario, 59072-970, Natal, RN, Brazil

    Marcílio C. P. de Souto

Authors
  1. Katti Faceli
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  2. André C. P. L. F. de Carvalho
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  3. Marcílio C. P. de Souto
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Virginia Bioinformatics Institute and Virginia Polytechnic Institute and State University, Bioinformatics 1, Box 0477, 24060-0477, Blacksburg, VA, USA

    João Carlos Setubal

  2. Instituto de Quimica, Departamento de Bioquimica, Universidade de Sao Paulo, Av. Prof. Lineu Prestes 748, 05508-000, Sao Paulo, SP, Brazil

    Sergio Verjovski-Almeida

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© 2005 Springer-Verlag Berlin Heidelberg

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Faceli, K., de Carvalho, A.C.P.L.F., de Souto, M.C.P. (2005). Evaluation of the Contents of Partitions Obtained with Clustering Gene Expression Data. In: Setubal, J.C., Verjovski-Almeida, S. (eds) Advances in Bioinformatics and Computational Biology. BSB 2005. Lecture Notes in Computer Science(), vol 3594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11532323_8

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  • DOI: https://doi.org/10.1007/11532323_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28008-8

  • Online ISBN: 978-3-540-31861-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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