Skip Navigation


Briefings in Bioinformatics Advance Access originally published online on May 26, 2006
Briefings in Bioinformatics 2007 8(1):32-44; doi:10.1093/bib/bbl016
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow All Versions of this Article:
8/1/32    most recent
bbl016v1
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 ISI Web of Science
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 (31)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Boulesteix, A.-L.
Right arrow Articles by Strimmer, K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Boulesteix, A.-L.
Right arrow Articles by Strimmer, K.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2006. Published by Oxford University Press. For Permissions, please email: journals.permissions@oxfordjournals.org

Partial least squares: a versatile tool for the analysis of high-dimensional genomic data

Anne-Laure Boulesteix and Korbinian Strimmer

Corresponding author. Anne-Laure Boulesteix, Department of Medical Statistics and Epidemiology, Technical University of Munich, Ismaningerstrasse 22, D-81675 Munich, Germany. Tel: +49 89 4140-4347; Fax: +49 89 4140-4840; E-mail: anne-laure.boulesteix{at}tum.de

Partial least squares (PLS) is an efficient statistical regression technique that is highly suited for the analysis of genomic and proteomic data. In this article, we review both the theory underlying PLS as well as a host of bioinformatics applications of PLS. In particular, we provide a systematic comparison of the PLS approaches currently employed, and discuss analysis problems as diverse as, e.g. tumor classification from transcriptome data, identification of relevant genes, survival analysis and modeling of gene networks and transcription factor activities.

Keywords: partial least squares (PLS), high-dimensional genomic data, gene expression, classification, dimension reduction


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
 Proc. Natl. Acad. Sci. USAHome page
A. Madi, I. Hecht, S. Bransburg-Zabary, Y. Merbl, A. Pick, M. Zucker-Toledano, F. J. Quintana, A. I. Tauber, I. R. Cohen, and E. Ben-Jacob
Organization of the autoantibody repertoire in healthy newborns and adults revealed by system level informatics of antigen microarray data
PNAS, August 25, 2009; 106(34): 14484 - 14489.
[Abstract] [Full Text] [PDF]

Home page
 GeneticsHome page
D. Wegmann, C. Leuenberger, and L. Excoffier
Efficient Approximate Bayesian Computation Coupled With Markov Chain Monte Carlo Without Likelihood
Genetics, August 1, 2009; 182(4): 1207 - 1218.
[Abstract] [Full Text] [PDF]

Home page
 Crop Sci.Home page
J. W. Dudley and G. R. Johnson
Epistatic Models Improve Prediction of Performance in Corn
Crop Sci., May 11, 2009; 49(3): 763 - 770.
[Abstract] [Full Text] [PDF]

Home page
 Journal of Service ResearchHome page
B. Cooil, L. Aksoy, T. L. Keiningham, and K. M. Maryott
The Relationship of Employee Perceptions of Organizational Climate to Business-Unit Outcomes: An MPLS Approach
Journal of Service Research, February 1, 2009; 11(3): 277 - 294.
[Abstract] [PDF]

Home page
 BioinformaticsHome page
A.-L. Boulesteix, C. Porzelius, and M. Daumer
Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value
Bioinformatics, August 1, 2008; 24(15): 1698 - 1706.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
M. Mramor, G. Leban, J. Demsar, and B. Zupan
Visualization-based cancer microarray data classification analysis
Bioinformatics, August 15, 2007; 23(16): 2147 - 2154.
[Abstract] [Full Text] [PDF]

Home page
 Protein Eng Des SelHome page
Y. Lu, B. Bulka, M. desJardins, and S. J. Freeland
Amino acid quantitative structure property relationship database: a web-based platform for quantitative investigations of amino acids
Protein Eng. Des. Sel., July 1, 2007; 20(7): 347 - 351.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
A.-L. Boulesteix
WilcoxCV: an R package for fast variable selection in cross-validation
Bioinformatics, July 1, 2007; 23(13): 1702 - 1704.
[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.