A methodology for multivariate phenotype-based genome-wide association studies to mine pleiotropic genes - researchr publication related

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Sung-Hee Park, Ji Young Lee, Sangsoo Kim. A methodology for multivariate phenotype-based genome-wide association studies to mine pleiotropic genes. BMC Systems Biology, 5(S-2), 2011. [doi]

The following publications are possibly variants of this publication:

Discovery of multivariate phenotypes using association rule mining and their application to genome-wide association studiesSung-Hee Park, Sangsoo Kim. bibm 2010: 324-329 [doi]

Pattern discovery of multivariate phenotypes by Association Rule Mining and its scheme for Genome-Wide Association StudiesSung-Hee Park, Sangsoo Kim. ijdmb, 6(5):505-520, 2012. [doi]

Voxelwise gene-wide association study (vGeneWAS): Multivariate gene-based association testing in 731 elderly subjectsDerrek P. Hibar, Jason L. Stein, Omid Kohannim, Neda Jahanshad, Andrew J. Saykin, Li Shen, Sungeun Kim, Nathan Pankratz, Tatiana Foroud, Matthew J. Huentelman, Steven G. Potkin, Clifford R. Jack Jr., Michael W. Weiner, Arthur W. Toga, Paul M. Thompson. neuroimage, 56(4):1875-1891, 2011. [doi]

A novel method to identify high order gene-gene interactions in genome-wide association studies: Gene-based MDRSohee Oh, Jaehoon Lee, Min-Seok Kwon, Bruce Weir, Kyooseob Ha, Taesung Park. bmcbi, 13(S-9), 2012. [doi]

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