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Improving the prediction accuracy in classification using the combined data sets by ranks of gene expressions

✍ Scribed by Ki-Yeol Kim; Dong Hyuk Ki; Hei-Cheul Jeung; Hyun Cheol Chung; Sun Young Rha


Book ID
115001340
Publisher
BioMed Central
Year
2008
Tongue
English
Weight
606 KB
Volume
9
Category
Article
ISSN
1471-2105

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The performance of the new probabilistic classification method CLASSY is evaluated on three different data sets, together with its predecessors SIMCA and ALLOC. The improvement made over ALLOC is only marginal, whereas CLASSY shows better predictive ability and greater reliability than SIMCA in most