POPOVICI, Vlad, Eva BUDINSKÁ and Mauro DELORENZI. Rgtsp: a generalized top scoring pairs package for class prediction. Bioinformatics. 2011, vol. 27, No 12, p. 1729–1730. ISSN 1367-4803. Available from: https://dx.doi.org/10.1093/bioinformatics/btr233.
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Basic information
Original name Rgtsp: a generalized top scoring pairs package for class prediction
Authors POPOVICI, Vlad (756 Switzerland, guarantor), Eva BUDINSKÁ (703 Slovakia, belonging to the institution) and Mauro DELORENZI (756 Switzerland).
Edition Bioinformatics, 2011, 1367-4803.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30000 3. Medical and Health Sciences
Country of publisher United Kingdom of Great Britain and Northern Ireland
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 5.468
RIV identification code RIV/00216224:14110/11:00052507
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1093/bioinformatics/btr233
UT WoS 000291261300032
Keywords in English top scoring pair TSP class prediction
Tags International impact
Changed by Changed by: Mgr. Michal Petr, učo 65024. Changed: 12/4/2012 08:17.
Abstract
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.
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