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Figure 9 | BMC Bioinformatics

Figure 9

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

Figure 9

Comparison of the outputs of five methods devoted to linkage disequilibrium modeling, for Daly et al .'s dataset. Partitions of contiguous SNPs (blocks) inferred by (a) Daly et al.'s method, (b) Gerbil software and (c) HaploBlock. Subfigure (c) displays five different outputs produced by non-deterministic software HaploBlock. Blocks are represented by alternating sequences of x and #. Partitions of non contiguous SNPs (clusters) inferred by (d) Zhang et al.'s algorithm and (e) CFHLC algorithm. Subfigure (d) shows a partition of SNPs whereas Subfigure (e) displays a hierarchical clustering. Symbol o in ith row and jth column indicates that the jth SNP belongs to the ith cluster. Dotted lines highlight common trends between the five methods. Parameters for CFHLC algorithm: 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).

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