Fig. 5From: A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mappingMapping all the SNPs’ posterior possibilities estimated from BayesR and HyB_BR across the whole chromosome related to protein yield. The posterior possibility is calculated based on the sum of the posterior possibilities P(i, k) of each SNP with non-zero variances written as ∑ 4 k = 2 P(i, k). The blue circle is the SNPs (picked up based on the high posterior possibility following in the distribution with largest variances) with location information mapped to known genesBack to article page