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Fig. 7 | BMC Bioinformatics

Fig. 7

From: A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies

Fig. 7

Comparison of the performances of T-Trees and the hybrid approach on simulated data. We computed the percentage of the causal SNPs found among the top results, over all replicates related to the same condition (GM, GRR, MAF). GM: genetic model (add, dom, rec); GRR: genetic relative risk; MAF: minor allele frequency of the causal SNP; H: hybrid approach, T: T-Trees approach. We successively computed this percentage for the top 25, top 50, top 100, top 200 and top 1000 results

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