Rgtsp: a generalized top scoring pairs package for class prediction

Bioinformatics. 2011 Jun 15;27(12):1729-30. doi: 10.1093/bioinformatics/btr233. Epub 2011 Apr 19.


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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Classification / methods
  • Gene Expression Profiling / methods*
  • Receptors, Estrogen / metabolism
  • Software*


  • Receptors, Estrogen