Skip Navigation



Bioinformatics Advance Access published online on May 12, 2005
Bioinformatics, doi:10.1093/bioinformatics/bti494
This Article
Right arrow Advance Access manuscript (PDF) Freely available
Right arrow Supplementary Data
Right arrow All Versions of this Article:
21/14/3138    most recent
bti494v1
Right arrow Comments: Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when Comments are posted
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 arrowRequest Permissions
Google Scholar
Right arrow Articles by Geurts, P.
Right arrow Articles by Wehenkel, L.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Geurts, P.
Right arrow Articles by Wehenkel, L.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author (2005). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oupjournals.org
Received April 13, 2005
Revised May 6, 2005
Accepted May 6, 2005

Article

Proteomic mass spectra classification using decision tree based ensemble methods

Pierre Geurts 1*, Marianne Fillet 2, Dominique de Seny 2, Marie-Alice Meuwis 2, Michel Malaise 2, Marie-Paule Merville 2, and Louis Wehenkel 1

1 Department of EE & CS, CBIG - Centre of Biomedical Integrative Genoproteomics, University of Liège, 4000 Liège, Belgium
2 Laboratory of Clinical Chemistry and Rheumatology, CBIG - Centre of Biomedical Integrative Genoproteomics, University of Liège, 4000 Liège, Belgium

* To whom correspondence should be addressed.
Pierre Geurts, E-mail: p.geurts{at}ulg.ac.be


  Abstract

Motivation: Modern mass spectrometry allows the determination of proteomic fingerprints of body fluids like serum, saliva, or urine. These measurements can be used in many medical applications in order to diagnose the current state or predict the evolution of a disease. Recent developments in machine learning allow one to exploit such datasets, characterized by small numbers of very high-dimensional samples.

Results: We propose a systematic approach based on decision tree ensemble methods, which is used to automatically determine proteomic biomarkers and predictive models. The approach is validated on two datasets of surface-enhanced laser desorption/ionization time of flight measurements, for the diagnosis of rheumatoid arthritis and inflammatory bowel diseases. The results suggest that the methodology can handle a broad class of similar problems.

Supplementary information: Additional tables and datasets may be found at http://www.montefiore.ulg.ac.be/~geurts/Papers/Proteomic-suppl.html.


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
 Clin. Chem.Home page
D. de Seny, M. Fillet, C. Ribbens, R. Maree, M.-A. Meuwis, L. Lutteri, J.-P. Chapelle, L. Wehenkel, E. Louis, M.-P. Merville, et al.
Monomeric Calgranulins Measured by SELDI-TOF Mass Spectrometry and Calprotectin Measured by ELISA as Biomarkers in Arthritis
Clin. Chem., June 1, 2008; 54(6): 1066 - 1075.
[Abstract] [Full Text] [PDF]

Home page
 Brief BioinformHome page
M. Hilario and A. Kalousis
Approaches to dimensionality reduction in proteomic biomarker studies
Brief Bioinform, March 1, 2008; 9(2): 102 - 118.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
Y. Saeys, I. Inza, and P. Larranaga
A review of feature selection techniques in bioinformatics
Bioinformatics, October 1, 2007; 23(19): 2507 - 2517.
[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.