Home Page

Papers

Submissions

News

Editorial Board

Announcements

Proceedings

Open Source Software

Search

Statistics

Login



RSS Feed

Simple ensemble methods are competitive with state-of-the-art data integration methods for gene function prediction

Matteo Ré, Giorgio Valentini; JMLR W&CP 8:98-111, 2010.

Abstract

Several works showed that biomolecular data integration is a key issue to improve the prediction of gene functions. Quite surprisingly only little attention has been devoted to data integration for gene function prediction through ensemble methods. In this work we show that relatively simple ensemble methods are competitive and in some cases are also able to outperform state-of-the-art data integration techniques for gene function prediction.



Home Page

Papers

Submissions

News

Editorial Board

Announcements

Proceedings

Open Source Software

Search

Statistics

Login



RSS Feed

Page last modified on Tue Feb 9 22:52:36 CET 2010.

webmasterjmlr.org Copyright © JMLR 2000. All rights reserved.