Rgtsp: a generalized top scoring pairs package for class prediction.
Détails
Etat: Public
Version: Final published version
Licence: Non spécifiée
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
ID Serval
serval:BIB_AA57B608F927
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Rgtsp: a generalized top scoring pairs package for class prediction.
Périodique
Bioinformatics
ISSN
1367-4811 (Electronic)
ISSN-L
1367-4803
Statut éditorial
Publié
Date de publication
2011
Peer-reviewed
Oui
Volume
27
Numéro
12
Pages
1729-1730
Langue
anglais
Résumé
SUMMARY: A top scoring pair (TSP) classifier consists of a pair of variables whose relative ordering can be used for accurately predicting the class label of a sample. This classification rule has the advantage of being easily interpretable and more robust against technical variations in data, as those due to different microarray platforms. Here we describe a parallel implementation of this classifier which significantly reduces the training time, and a number of extensions, including a multi-class approach, which has the potential of improving the classification performance. AVAILABILITY AND IMPLEMENTATION: Full C++ source code and R package Rgtsp are freely available from http://lausanne.isb-sib.ch/~vpopovic/research/. The implementation relies on existing OpenMP libraries.
Mots-clé
Classification/methods, Gene Expression Profiling/methods, Receptors, Estrogen/metabolism, Software
Pubmed
Web of science
Open Access
Oui
Création de la notice
23/02/2012 13:19
Dernière modification de la notice
14/02/2022 8:56