Skip to main content
Fig. 4 | BioData Mining

Fig. 4

From: Exploration of a diversity of computational and statistical measures of association for genome-wide genetic studies

Fig. 4

Workflow for multi-approach analysis strategy. Different applicable approaches are each run on the given GWAS. Clusterings of these approaches are then generated utilizing Canberra based metrics of dissimilarity, with location parameter k, between the resulting ranked SNP lists. Clustering agreement is then assessed to select the values of k on which a consensus clustering is based. From the consensus clustering, a subset of representative approaches is selected and top SNP lists are generated for these. Depending on scope of follow-up, size of the GWAS, and approaches employed, these lists could be based on a top cutoff or on significant p-values, after multiple testing corrections

Back to article page
\