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Since many participants had perfect discrimination in at least one condition (n = 93), 0.25 was added to all cells of the signal detection matrix to correct for infinite estimates of discriminability (Brown & White, 2005).
EMMA computes a kinship matrix to correct the effect of the population structure.
We used a PCA matrix (first two vectors) and the IBD matrix to correct for population stratification.
Yu et al. [ 43] developed a mixed linear model (MLM) which incorporates the pairwise kinship (K matrix) to correct for relatedness.
Therefore, a unified mixed-model approach for association mapping that incorporates the pairwise kinship (K matrix) and Q matrix to correct multiple levels of relatedness have been developed.
Like other mixed-model algorithms (e.g., Lippert et al. 2011), EMMA uses a kinship matrix to correct for substructure in the study population.
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The input consisted of genotype matrices, phenotype matrices, and structure analysis matrices (Q) to correct for population structure.
A matrix with the relative kinship coefficients (K matrix) was used to correct for relatedness of individuals in further analyses.
In FB4, we transfer at each iteration the matched landmarks and their covariance matrix to GPU to correct their states and we transfer back the updated landmarks to CPU.
The matrix was used to correct for spectral overlap in raw sample files.
Furthermore, SVA only utilizes the principal axes of the inter-sample correlation matrix in order to correct expression.
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