Title
New evaluation measures for multifactor dimensionality reduction classifiers in gene-gene interaction analysis.
Abstract
Gene-gene interactions are important contributors to complex biological traits. Multifactor dimensionality reduction (MDR) is a method to analyze gene-gene interactions and has been applied to many genetics studies of complex diseases. In order to identify the best interaction model associated with disease susceptibility, MDR classifiers corresponding to interaction models has been constructed and evaluated as a predictor of disease status via a certain measure such as balanced accuracy (BA). It has been shown that the performance of MDR tends to depend on the choice of the evaluation measures.In this article, we introduce two types of new evaluation measures. First, we develop weighted BA (wBA) that utilizes the quantitative information on the effect size of each multi-locus genotype on a trait. Second, we employ ordinal association measures to assess the performance of MDR classifiers. Simulation studies were conducted to compare the proposed measures with BA, a current measure. Our results showed that the wBA and tau(b) improved the power of MDR in detecting gene-gene interactions. Noticeably, the power increment was higher when data contains the greater number of genetic markers. Finally, we applied the proposed evaluation measures to real data.
Year
DOI
Venue
2009
10.1093/bioinformatics/btn629
Bioinformatics
Keywords
Field
DocType
evaluation measure,complex biological trait,supplementary data,certain measure,new evaluation measure,gene interaction analysis,mdr classifier,complex disease,gene interaction,proposed evaluation measure,multifactor dimensionality reduction classifier,multifactor dimensionality reduction,genetics,genetic marker,effect size
Data mining,Computer science,Multifactor dimensionality reduction,Trait,Curse of dimensionality,Bioinformatics,Classifier (linguistics),Ordinal association
Journal
Volume
Issue
ISSN
25
3
1367-4811
Citations 
PageRank 
References 
12
0.98
4
Authors
6
Name
Order
Citations
PageRank
Junghyun Namkung1132.69
Kyunga Kim2243.41
Sungon Yi3120.98
Wonil Chung4131.34
Minseok Kwon533928.71
Taesung Park649064.41