Skip Navigation


Bioinformatics Advance Access originally published online on March 7, 2007
Bioinformatics 2007 23(9):1164-1167; doi:10.1093/bioinformatics/btm069
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrowOA All Versions of this Article:
23/9/1164    most recent
btm069v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (2)
Google Scholar
Right arrow Articles by Stacklies, W.
Right arrow Articles by Selbig, J.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Stacklies, W.
Right arrow Articles by Selbig, J.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

pcaMethods—a bioconductor package providing PCA methods for incomplete data

Wolfram Stacklies 1, Henning Redestig 2, Matthias Scholz 3, Dirk Walther 2 and Joachim Selbig 2,4,*

1CAS-MPG Partner Institute for Comp. Biology, 320 Yue Yang Road, 200031 Shanghai, China, 2Max Planck Institute for Molecular Plant Physiology, Am Mühlenberg 1, 14476 Golm, 3Ernst-Moritz-Arndt-University of Greifswald, Competence Center for Functional Genomics, F.L.Jahnstraße 15, 17487, Greifswald and 4University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany

*To whom correspondence should be addressed.


  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{at}mpimp-golm.mpg.de

Supplementary information: Please visit our webpage at http://bioinformatics.mpimp-golm.mpg.de/

Associate Editor: Olga Troyanskaya

Received on October 25, 2006; revised on February 13, 2007; accepted on February 21, 2007

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Plant Physiol.Home page
Z. Bieniawska, C. Espinoza, A. Schlereth, R. Sulpice, D. K. Hincha, and M. A. Hannah
Disruption of the Arabidopsis Circadian Clock Is Responsible for Extensive Variation in the Cold-Responsive Transcriptome
Plant Physiology, May 1, 2008; 147(1): 263 - 279.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.