Skip Navigation


Bioinformatics Advance Access originally published online on May 12, 2005
Bioinformatics 2005 21(14):3185-3186; doi:10.1093/bioinformatics/bti495
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
21/14/3185    most recent
bti495v1
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 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 (5)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Pochet, N. L. M. M.
Right arrow Articles by De Moor, B. L. R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Pochet, N. L. M. M.
Right arrow Articles by De Moor, B. L. R.
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{at}oupjournals.org

M@CBETH: a microarray classification benchmarking tool

Nathalie L. M. M. Pochet *, Frizo A. L. Janssens , Frank De Smet , Kathleen Marchal , Johan A. K. Suykens and Bart L. R. De Moor

K. U. Leuven, ESAT–SCD, Kasteelpark Arenberg 10 B-3001 Leuven (Heverlee), Belgium

*To whom correspondence should be addressed.

Summary: Microarray classification can be useful to support clinical management decisions for individual patients in, for example, oncology. However, comparing classifiers and selecting the best for each microarray dataset can be a tedious and non-straightforward task. The M@CBETH (a MicroArray Classification BEnchmarking Tool on a Host server) web service offers the microarray community a simple tool for making optimal two-class predictions. M@CBETH aims at finding the best prediction among different classification methods by using randomizations of the benchmarking dataset. The M@CBETH web service intends to introduce an optimal use of clinical microarray data classification.

Availability: Web service at http://www.esat.kuleuven.be/MACBETH/

Contact: Nathalie.Pochet{at}esat.kuleuven.be

Received on April 18, 2005; revised on May 10, 2005; accepted on May 10, 2005

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
 BioinformaticsHome page
I. Medina, D. Montaner, J. Tarraga, and J. Dopazo
Prophet, a web-based tool for class prediction using microarray data
Bioinformatics, February 1, 2007; 23(3): 390 - 391.
[Abstract] [Full Text] [PDF]

Home page
 Clin. Cancer Res.Home page
F. De Smet, N. L.M.M. Pochet, B. L.R. De Moor, T. Van Gorp, D. Timmerman, I. B. Vergote, L. C. Hartmann, A. I. Damokosh, and S. Hoersch
Independent Test Set Performance in the Prediction of Early Relapse in Ovarian Cancer with Gene Expression Profiles
Clin. Cancer Res., November 1, 2005; 11(21): 7958 - 7959.
[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.