serval:BIB_AA57B608F927
Rgtsp: a generalized top scoring pairs package for class prediction.
10.1093/bioinformatics/btr233
000291261300032
21505033
Popovici
V.
author
Budinská
E.
author
Delorenzi
M.
author
article
2011
Bioinformatics
1367-4811
1367-4803
journal
27
12
1729-1730
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.
Classification/methods
Gene Expression Profiling/methods
Receptors, Estrogen/metabolism
Software
eng
60_published
true
peer-reviewed
University of Lausanne
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