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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22778

Title: THE PERFORMANCE OF DISCRIMINANT ANALYSIS FOR DIFFERENTIATING BETWEEN GENOTOXIC AND NONGENOTOXIC CARCINOGENS
Authors: Ćwiklinska-Jurkowska, Małgorzata
Burzykowski, Tomasz
Wietlicka-Piszcz, Magdalena
Issue Date: 2011
Citation: Biometrical Letters, 48(1), p. 41-54
Abstract: The aim of the present study was to examine the use of a variety of statistical discriminant functions to the classification of genotoxic and non-genotoxic carcinogens. To this purpose, the data from an experiment conducted by van Delft et al. (2005) were applied. The investigated methods included DQDA, DLDA, boosting trees, bagging trees, bagboosting trees, KNN, and SVM. Two gene selection methods were examined: first using tests based on a linear model (Smyth et al., 2004), with a multiple-testing correction of the resulting p-values, and the second based on the tests applied to re-sampled datasets. The outcomes suggest that, when the discrimination between genotoxic and non-genotoxic carcinogens is of interest, the choice of the discrimination method is essential. The misclassification errors may be also the confirmation of the correctness of gene selection methods.
URI: http://hdl.handle.net/1942/22778
ISSN: 1896-3811
Category: A2
Type: Journal Contribution
Appears in Collections: Research publications

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