Rgtsp: a generalized top scoring pairs package for class prediction

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.


Published in:
Bioinformatics, 27, 1729-1730
Year:
2011
Keywords:
Laboratories:




 Record created 2011-12-16, last modified 2018-01-28


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