GWAS模型描述方法
https://mran.microsoft.com/snapshot/2018-04-07/web/packages/lmem.gwaser/lmem.gwaser.pdf
GWAS analysis with models:
naive: y= x + e,
fixed: y = x + q + e,
kinship: y=x+z+e (Pariseaux and Bernardo, 2004),
QK: y = x + q + z + e (Yu et al., 2006),
eigenstrat: y = x + q + e (Price et al., 2006; Malosetti et al., 2007).
参考：
https://mran.microsoft.com/snapshot/2018-04-07/web/packages/lmem.gwaser/lmem.gwaser.pdf
GWAS关联分析课程推荐：https://bdtcd.xetslk.com/s/2KgXQq
- 发表于 2021-12-27 12:09
- 阅读 ( 2288 )
- 分类：GWAS
