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. 2023 Mar 17;51(8):e44. doi: 10.1093/nar/gkad149

Figure 1.

Figure 1.

Overview of the Rye algorithm. Rye utilizes eigenvectors (PC vectors) and eigenvalues generated by PCA of reference and query individual genome-wide variant samples (left panel). Ancestry group-representative PC vectors are weighted via Metropolis-Hastings optimization of ancestry group-mean PC vectors. Non-negative least squares regression (NNLS) is used to estimate GA fractions via comparison of query individual PC vectors and the weighted ancestry group representative PC vectors.