Towards fine-scale population stratification modeling based on kernel principal component analysis and random forest

被引：0
作者：
Weiwen Zhang
Lianglun Cheng
Guoheng Huang
机构：
[1] Guangdong University of Technology,School of Computers
来源：
Genes & Genomics | 2021年 / 43卷
关键词：
Association study; Kernel principal component analysis; Population stratification; Random forest;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：1143 / 1155
页数：12
相关论文
共 119 条
[21]  
Smink LJ(2017)Laser server: ancestry tracing with genotypes or sequence reads Bioinform 33 2056-undefined
[22]  
Lam AC(2014)Ancestry estimation and control of population stratification for sequence-based association studies Nat Genet 46 409-undefined
[23]  
Ovington NR(2015)Improved ancestry estimation for both genotyping and sequencing data using projection procrustes analysis and genotype imputation Am J Hum Genet 96 926-undefined
[24]  
Stevens HE(2012)Correction for population stratification in random forest analysis Int J Epidemiol 41 1798-undefined
[25]  
Hellwege JN(undefined)undefined undefined undefined undefined-undefined
[26]  
Keaton JM(undefined)undefined undefined undefined undefined-undefined
[27]  
Giri A(undefined)undefined undefined undefined undefined-undefined
[28]  
Gao X(undefined)undefined undefined undefined undefined-undefined
[29]  
Edwards DRV(undefined)undefined undefined undefined undefined-undefined
[30]  
Edwards TL(undefined)undefined undefined undefined undefined-undefined
12345678910