Rgtsp: a generalized top scoring pairs package for class prediction.
Details
State: Public
Version: Final published version
License: Not specified
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
Serval ID
serval:BIB_AA57B608F927
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Rgtsp: a generalized top scoring pairs package for class prediction.
Journal
Bioinformatics
ISSN
1367-4811 (Electronic)
ISSN-L
1367-4803
Publication state
Published
Issued date
2011
Peer-reviewed
Oui
Volume
27
Number
12
Pages
1729-1730
Language
english
Abstract
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.
Keywords
Classification/methods, Gene Expression Profiling/methods, Receptors, Estrogen/metabolism, Software
Pubmed
Web of science
Open Access
Yes
Create date
23/02/2012 13:19
Last modification date
14/02/2022 8:56