Introduction

UNLABELLED: 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. AVAILABILITY: http://www.bioconductor.org

Publications

  1. pcaMethods--a bioconductor package providing PCA methods for incomplete data.
    Cite this
    Stacklies W, Redestig H, Scholz M, Walther D, Selbig J, 2007-05-01 - Bioinformatics (Oxford, England)

Credits

  1. Wolfram Stacklies
    Developer

  2. Henning Redestig
    Developer

  3. Matthias Scholz
    Developer

  4. Dirk Walther
    Developer

  5. Joachim Selbig
    Investigator

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Summary
AccessionBT001747
Tool TypeApplication
Category
PlatformsLinux/Unix
TechnologiesR
User InterfaceTerminal Command Line
Download Count0
Submitted ByJoachim Selbig