Rgtsp: a generalized top scoring pairs package for class prediction

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F11%3A00052507" target="_blank" >RIV/00216224:14110/11:00052507 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1093/bioinformatics/btr233" target="_blank" >http://dx.doi.org/10.1093/bioinformatics/btr233</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1093/bioinformatics/btr233" target="_blank" >10.1093/bioinformatics/btr233</a>

Result language

angličtina

Original language name

Rgtsp: a generalized top scoring pairs package for class prediction

Original language 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.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FP - Other medical fields

OECD FORD branch

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Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Bioinformatics

ISSN

1367-4803

e-ISSN

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Volume of the periodical

27

Issue of the periodical within the volume

12

Country of publishing house

GB - UNITED KINGDOM

Number of pages

2

Pages from-to

1729-1730

UT code for WoS article

000291261300032

EID of the result in the Scopus database

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