Popovici, VladBudinska, EvaDelorenzi, Mauro2011-12-162011-12-162011-12-16201110.1093/bioinformatics/btr233https://infoscience.epfl.ch/handle/20.500.14299/74039WOS:000291261300032A 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.Cancertext::journal::journal article::research article