Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/66296
Title: An effective approach to identify gene-gene interactions for complex quantitative traits using generalized fuzzy accuracy
Authors: Zhou, X
Chan, KCC
Keywords: Fuzzy accuracy
Gene-gene interactions
Multifactor dimensionality reduction
Ordinal traits
Quantitative traits
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: CIBCB 2016 - Annual IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2016, 7758094 How to cite?
Abstract: Multifactor dimensionality reduction (MDR) is originally proposed to identify gene-gene and gene-environment interactions associated with binary traits. Some efforts have been made to extend it to quantitative traits (QTs) and ordinal traits. However these methods are still not computationally efficient or effective. In this paper, we propose Fuzzy Quantitative trait based Ordinal MDR (QOMDR) to strengthen identification of gene-gene interactions associated with a quantitative trait by first transforming it to an ordinal trait and then using a fuzzy balance accuracy measure based on generalized member function of fuzzy sets to select best sets of SNPs as having strong association with the trait. Experimental results on two real datasets show that our algorithm has better consistency and classification accuracy in identifying gene-gene interactions associated with QTs.
Description: 13th IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2016, Thailand, 5-7 October 2016
URI: http://hdl.handle.net/10397/66296
ISBN: 9781467394727
DOI: 10.1109/CIBCB.2016.7758094
Appears in Collections:Conference Paper

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