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@article{942516,
author = {Popovici, Vlad and Budinská, Eva and Delorenzi, Mauro},
article_number = {12},
doi = {http://dx.doi.org/10.1093/bioinformatics/btr233},
keywords = {top scoring pair TSP class prediction},
language = {eng},
issn = {1367-4803},
journal = {Bioinformatics},
title = {Rgtsp: a generalized top scoring pairs package for class prediction},
volume = {27},
year = {2011}
}
TY - JOUR
ID - 942516
AU - Popovici, Vlad - Budinská, Eva - Delorenzi, Mauro
PY - 2011
TI - Rgtsp: a generalized top scoring pairs package for class prediction
JF - Bioinformatics
VL - 27
IS - 12
SP - 1729–1730
EP - 1729–1730
SN - 13674803
KW - top scoring pair TSP class prediction
N2 - 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.
ER -
POPOVICI, Vlad, Eva BUDINSKÁ a Mauro DELORENZI. Rgtsp: a generalized top scoring pairs package for class prediction. \textit{Bioinformatics}. 2011, roč.~27, č.~12, s.~1729–1730. ISSN~1367-4803. Dostupné z: https://dx.doi.org/10.1093/bioinformatics/btr233.
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