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Fig. 1 | Genome Biology

Fig. 1

From: WhoGEM: an admixture-based prediction machine accurately predicts quantitative functional traits in plants

Fig. 1

Flowchart of the WhoGEM prediction machine. The inputs (left) include data preprocessing, typically LD-pruned SNPs, the ProvenancePredictor algorithm using geographical locations, and phenotypic characterization. The WhoGEM prediction machine (center) uses geographical information as covariates to help in resolving the number of admixture components. The phenotypic characterization allows predicting quantitative traits using admixture components of individuals. The outputs (right) are covariate-informed population structure and n-dimensional admixture vectors, putative localization of unknown samples, and prediction of quantitative traits using admixture proportions

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