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Fig. 7 | BMC Genomics

Fig. 7

From: A hybrid expectation maximisation and MCMC sampling algorithm to implement Bayesian mixture model based genomic prediction and QTL mapping

Fig. 7

Mapping all the SNPs’ posterior possibilities estimated from BayesR and HyB_BR across the whole chromosome related to fertility. 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 genes

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