Publication details
Rgtsp: a generalized top scoring pairs package for class prediction
| Authors | |
|---|---|
| Year of publication | 2011 |
| Type | Article in Periodical |
| Magazine / Source | Bioinformatics |
| MU Faculty or unit | |
| Citation | |
| Doi | https://doi.org/10.1093/bioinformatics/btr233 |
| Field | Other medical specializations |
| Keywords | top scoring pair TSP class prediction |
| Description | 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. |