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Work by Schaffer et al. [13] investigated interaction effects between parameter settings and suggested an inverse relationship between population size and mutation rate.
The mode of the investigated interaction is not fully understood.
As prior knowledge, we investigated interaction and pathway information from the human interactome on different aspects of biological systems.
A few studies investigated interaction of genes in INSIG-SCAP-SREBP pathway on diseases.
In a sensitivity analysis, we investigated interaction between vigorous physical activity and truck traffic on current wheeze.
To observe possible cross-talk between Pistarv and hormonal responses we investigated interaction between our and relevant AtGenExpress data-sets.
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We investigated interactions between SNPs and known and potential environmental risk factors.
Accordingly, we next investigated interactions between the TatABC inner membrane proteins and soluble cytoplasmic factors (see Fig. 1d).
We furthermore investigated interactions with vaccination status.
We also investigated interactions between country of origin and sex.
We investigated interactions with the likelihood ratio test, comparing models with and without an interaction term.
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