Skip to main content
Figure 12 | BMC Bioinformatics

Figure 12

From: A hierarchical Bayesian network approach for linkage disequilibrium modeling and data-dimensionality reduction prior to genome-wide association studies

Figure 12

Number of most common haplotypes against the latent variable's level, for Daly et al .'s dataset. For any latent variable, observed haplotypes are defined by the observed variables, namely, the values for the leaves of the tree rooted in the latent variable. The set of the most common haplotypes is the smallest subset of observed haplotypes which covers at least 75% of the sample. Haplotype diversity is evaluated as the number of most common haplotypes observed at level l. a = 0.2, b = 2, card max = 20, t CAST = 0.95, t MI = quantile MI (0.95), t = 0.3 (for CFHLC parameter description, see Section Algorithm).

Back to article page