PcaMethods--a Bioconductor Package Providing PCA Methods for Incomplete Data

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2007 Mar 9

PMID 17344241

Citations 477

Authors

Wolfram Stacklies

Henning Redestig

Matthias Scholz

Dirk Walther

Joachim Selbig

Affiliations

Soon will be listed here.

Abstract

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

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