pcaMethods—a bioconductor package providing PCA methods for incomplete data
Wolfram Stacklies(University of Potsdam), Henning Redestig(University of Potsdam), Matthias Scholz(University of Potsdam), Dirk Walther(University of Potsdam), Joachim Selbig(University of Potsdam)
Cited by 1,203Open Access
Abstract
Abstract 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. Availability: http://www.bioconductor.org Contact: selbig@mpimp-golm.mpg.de Supplementary information: Please visit our webpage at http://bioinformatics.mpimp-golm.mpg.de/
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