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Fig. 6 | BMC Bioinformatics

Fig. 6

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. 6

Outline of the study. In the single SNP GWAS, SNPs are tested one at a time for association with the disease. In the T-Trees method, the cut-point in any meta-node of the T-Trees random forest is computed based on blocks of, say, 20 contiguous SNPs. In the hybrid FLTM / T-Trees approach, FLTM modeling is used to provide a map of clusters; the cut-point in any meta-node of the hybrid random forest is calculated from clusters of SNPs output by the FLTM model

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BMC Bioinformatics

ISSN: 1471-2105

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