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  pcaMethods - a bioconductor package providing PCA methods for incomplete data

Stacklies, W., Redestig, H., Scholz, M., Walther, D., & Selbig, J. (2007). pcaMethods - a bioconductor package providing PCA methods for incomplete data. Bioinformatics, 23(9), 1164-1167. doi:10.1093/bioinformatics/btm069.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-2865-7 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-6A4F-9
Genre: Journal Article

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 Creators:
Stacklies, W.1, Author
Redestig, H.2, Author           
Scholz, M.2, Author           
Walther, D.3, Author           
Selbig, J.2, Author           
Affiliations:
1External Organizations, ou_persistent22              
2BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753315              
3BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society, ou_1753303              

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Free keywords: missing value estimation expression data microarray imputation
 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.

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Language(s): eng - English
 Dates: 2007-03-092007
 Publication Status: Issued
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 Table of Contents: -
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 Identifiers: ISI: ISI:000246773300018
DOI: 10.1093/bioinformatics/btm069
ISSN: 1367-4811 (Electronic)1367-4803 (Linking)
URI: ://000246773300018http://bioinformatics.oxfordjournals.org/content/23/9/1164.full.pdf
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Title: Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 23 (9) Sequence Number: - Start / End Page: 1164 - 1167 Identifier: -