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Publikováno v:
Cancer Informatics, Vol 2010, Iss 9, Pp 93-103 (2010)
A mixture normal model has been developed to partition genotypes in predicting quantitative phenotypes. Its estimation and inference are performed through an EM algorithm. This approach can conduct simultaneous genotype clustering and hypothesis test
Externí odkaz:
https://doaj.org/article/36b355ce573849bba5f9eb6e4d3feca4
Autor:
Changyu Shen, Robarge D. Jason, Zeruesenay Desta, David A. Flockhart, Lang Li, Silvana Borges
Publikováno v:
Cancer Informatics
Cancer Informatics, Vol 9 (2010)
Cancer Informatics, Vol 2010, Iss 9, Pp 93-103 (2010)
Cancer Informatics, Vol 9 (2010)
Cancer Informatics, Vol 2010, Iss 9, Pp 93-103 (2010)
A mixture normal model has been developed to partition genotypes in predicting quantitative phenotypes. Its estimation and inference are performed through an EM algorithm. This approach can conduct simultaneous genotype clustering and hypothesis test
Autor:
Zeruesenay Desta, Todd C. Skaar, Anne Nguyen, Silvana Borges-Gonzales, David A. Flockhart, Menggang Yu, Robarge D. Jason, Changyu Shen, Christopher Sweeney, Lang Li, Howard L. McLeod, Faouzi Azzouz
In translational research, a genetic association study of a binary outcome has a two-fold aim: test whether genetic/environmental variables or their combinations are associated with a clinical phenotype; and determine how those combinations are group
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c894fc69d1f4045d8bf7e52538ce4849
https://europepmc.org/articles/PMC2790052/
https://europepmc.org/articles/PMC2790052/