A power comparison of the association tests for genome-wide association studies

被引：0
|
作者：
Postovalov, Sergey [1 ]
Metge, R. Wyler [1 ]
机构：
[1] Novosibirsk State Tech Univ, Dept Theoret & Appl Informat, Novosibirsk, Russia
来源：
2016 11TH INTERNATIONAL FORUM ON STRATEGIC TECHNOLOGY (IFOST), PTS 1 AND 2 | 2016年
关键词：
Sequential study design; genetic association; robust statistical test; genetic model selection; computer simulation; SAMPLE-SIZE; SELECTION;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
The paper presents the statistical association criteria applicable at the genome-wide association analysis. The results of power calculation are presented for different alternative hypotheses.
引用
收藏
页数：4
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