pcaMethods—a bioconductor package providing PCA methods for incomplete data

DOI PDF 20 Citations
  • Wolfram Stacklies
    1 CAS-MPG Partner Institute for Comp. Biology, 320 Yue Yang Road, 200031 Shanghai, China, 2Max Planck Institute for Molecular Plant Physiology, Am Mühlenberg 1, 14476 Golm, 3Ernst-Moritz-Arndt-University of Greifswald, Competence Center for Functional Genomics, F.L.Jahnstraße 15, 17487, Greifswald and 4University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany
  • Henning Redestig
    1 CAS-MPG Partner Institute for Comp. Biology, 320 Yue Yang Road, 200031 Shanghai, China, 2Max Planck Institute for Molecular Plant Physiology, Am Mühlenberg 1, 14476 Golm, 3Ernst-Moritz-Arndt-University of Greifswald, Competence Center for Functional Genomics, F.L.Jahnstraße 15, 17487, Greifswald and 4University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany
  • Matthias Scholz
    1 CAS-MPG Partner Institute for Comp. Biology, 320 Yue Yang Road, 200031 Shanghai, China, 2Max Planck Institute for Molecular Plant Physiology, Am Mühlenberg 1, 14476 Golm, 3Ernst-Moritz-Arndt-University of Greifswald, Competence Center for Functional Genomics, F.L.Jahnstraße 15, 17487, Greifswald and 4University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany
  • Dirk Walther
    1 CAS-MPG Partner Institute for Comp. Biology, 320 Yue Yang Road, 200031 Shanghai, China, 2Max Planck Institute for Molecular Plant Physiology, Am Mühlenberg 1, 14476 Golm, 3Ernst-Moritz-Arndt-University of Greifswald, Competence Center for Functional Genomics, F.L.Jahnstraße 15, 17487, Greifswald and 4University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany
  • Joachim Selbig
    1 CAS-MPG Partner Institute for Comp. Biology, 320 Yue Yang Road, 200031 Shanghai, China, 2Max Planck Institute for Molecular Plant Physiology, Am Mühlenberg 1, 14476 Golm, 3Ernst-Moritz-Arndt-University of Greifswald, Competence Center for Functional Genomics, F.L.Jahnstraße 15, 17487, Greifswald and 4University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany

Description

<jats:title>Abstract</jats:title><jats:p>Summary:  pcaMethods is a Bioconductor compliant library for computing principal component analysis (PCA) on incomplete data sets. The results can be analyzed directly or used to estimate missing values to enable the use of missing value sensitive statistical methods. The package was mainly developed with microarray and metabolite data sets in mind, but can be applied to any other incomplete data set as well.</jats:p><jats:p>Availability:  http://www.bioconductor.org</jats:p><jats:p>Contact:  selbig@mpimp-golm.mpg.de</jats:p><jats:p>Supplementary information: Please visit our webpage at http://bioinformatics.mpimp-golm.mpg.de/</jats:p>

Journal

  • Bioinformatics

    Bioinformatics 23 (9), 1164-1167, 2007-03-07

    Oxford University Press (OUP)

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