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pcaMethods—a bioconductor package providing PCA methods for incomplete data

by: Wolfram Stacklies, Henning Redestig, Matthias Scholz, Dirk Walther, Joachim Selbig
Bioinformatics, Vol. 23, No. 9. (01 May 2007), pp. 1164-1167, doi:10.1093/bioinformatics/btm069  Key: citeulike:1152733

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Abstract

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


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