TY - GEN
T1 - A novel three-class ROC method for eQTL analysis
AU - Xu, Weichao
AU - Chen, Peikai
AU - Hung, Y. S.
AU - Kung, S. Y.
PY - 2010
Y1 - 2010
N2 - The problem of identifying genetic factors underlying complex and quantitative traits such as height, weight and disease susceptibility in natural populations has become a major theme of research in recent years. Aiming at revealing the inter-dependency and causal relationship between the underlying genotypes and observed phenotypes, researchers from different areas have developed a variety of methods for expression quantitative trait loci (eQTL) mapping. Most of these methods rely on resampling-based algorithms that are computationally very expensive. To overcome the disadvantages of the current techniques, we propose a novel nonparametric method based on the volume under surface (VUS) within the framework of three-class receiver operating characteristic (ROC) analysis. With the fast algorithms developed, we can reduce the computation time of the genomewide analysis from several months down to several days.
AB - The problem of identifying genetic factors underlying complex and quantitative traits such as height, weight and disease susceptibility in natural populations has become a major theme of research in recent years. Aiming at revealing the inter-dependency and causal relationship between the underlying genotypes and observed phenotypes, researchers from different areas have developed a variety of methods for expression quantitative trait loci (eQTL) mapping. Most of these methods rely on resampling-based algorithms that are computationally very expensive. To overcome the disadvantages of the current techniques, we propose a novel nonparametric method based on the volume under surface (VUS) within the framework of three-class receiver operating characteristic (ROC) analysis. With the fast algorithms developed, we can reduce the computation time of the genomewide analysis from several months down to several days.
KW - Expression quantitative trait loci (eQTL)
KW - Nonparametric
KW - Normal distribution
KW - Receiver operating characteristic (ROC)
KW - Volume under surface (VUS)
UR - http://www.scopus.com/inward/record.url?scp=78149293286&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78149293286&partnerID=8YFLogxK
U2 - 10.1109/ICMLC.2010.5580746
DO - 10.1109/ICMLC.2010.5580746
M3 - Conference contribution
AN - SCOPUS:78149293286
SN - 9781424465262
T3 - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
SP - 3056
EP - 3061
BT - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
T2 - 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Y2 - 11 July 2010 through 14 July 2010
ER -