Fast Linear Mixed Models for Genome-wide Association Studies
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[1] Naomi R. Wray,et al. Estimating Effects and Making Predictions from Genome-Wide Marker Data , 2010, 1010.4710.
[2] P. Visscher,et al. Common SNPs explain a large proportion of the heritability for human height , 2010, Nature Genetics.
[3] Zhiwu Zhang,et al. Mixed linear model approach adapted for genome-wide association studies , 2010, Nature Genetics.
[4] H. Kang,et al. Variance component model to account for sample structure in genome-wide association studies , 2010, Nature Genetics.
[5] D. Heckerman,et al. Efficient Control of Population Structure in Model Organism Association Mapping , 2008, Genetics.
[6] D. Reich,et al. Principal components analysis corrects for stratification in genome-wide association studies , 2006, Nature Genetics.
[7] Werner Dubitzky,et al. A Practical Approach to Microarray Data Analysis , 2003, Springer US.
[8] Michael E. Tipping,et al. Probabilistic Principal Component Analysis , 1999 .