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The WISH network method based on epistatic interactions was tested first on simulated data and afterwards applied to real data.
The WISH network method based on epistatic interactions is theoretically a promising approach to cluster SNPs based on their interconnectedness.
In the WISH network based on epistatic interactions a stricter threshold had to be chosen for the selection of SNPs because of computational limitations, resulting in 995 SNPs.
Because of computational and time limitations, we used only the top 1000 SNPs for the WISH network based on epistatic interactions.
Both methods, WISH based on genomic correlations and WISH based on epistatic interactions, result in the construction of a scale-free network.
The same F2 pig resource population and carcass weight data used in the WISH based on genomic correlations were also used to perform the WISH network method based on epistatic interactions.
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Nevertheless, the KLC2 gene was not found in one of these modules, neither in the WISH based on genomic correlations nor in the WISH based on epistatic interaction.
We evaluated the performance of IGENT_stepwise in simulation 5 based on epistatic model set 1.
The second option for creating a network using HTG data is creating an adjacency matrix based on the epistatic interactions.
Again, data on epistatic interactions among pairs of mutations affecting non-coding regulatory regions are scarce for RNA viruses.
Thereby, a modified ET algorithm could directly enforce smoothness and improve predictions by focusing primarily on epistatic interactions.
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based on physical interactions
based on functional interactions
based on Hybrid interactions
based on direct interactions
based on possible interactions
based on previous interactions
based on tight interactions
based on genetic interactions
based on electrostatic interactions
based on significant interactions
based on synergistic interactions
based on local interactions
based on lateral interactions
based on such interactions
based on molecular interactions
based on behavioral interactions
based on social interactions
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