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2011
- doi: 10.1093/bioinformatics/btr233
- issn: 1367-4803
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Mots-clés
Classification/methods; Gene Expression Profiling/methods; Receptors, Estrogen/metabolism; SoftwareSujets proches
Top Spinning tops Knowledge, Classification ofCiter ce document
V. Popovici et al., « Rgtsp: a generalized top scoring pairs package for class prediction. », Serveur académique Lausannois, ID : 10.1093/bioinformatics/btr233
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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.