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Fig. 2 | BMC Bioinformatics

Fig. 2

From: WISH-R– a fast and efficient tool for construction of epistatic networks for complex traits and diseases

Fig. 2

Example of a Pseudo Manhattan plot. Visualizing interactions in a meaningful way is difficult due to the high data dimensionality. One way to solve this is to use summary statistics for each locus instead. Here we sum over the -log likelihoods of all interactions for each variant to give an idea of which variants are most strongly interacting across the genome and color by chromosome

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