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Consider the factorial ANOVA model with m fixed factors, interactions, and error terms that are not necessarily normally distributed.
All of the input parameters and two factors interactions have been found to be statically significant for their effects on the response of interest.
These cues are largely controlled by cell cell, cell-insoluble factors (such as extracellular matrix), and cell-soluble factors (such as cytokine or growth factors) interactions.
All main effects, two factors interactions and a quadratic term significantly influenced cells removal, and were modeled using a second order polynomial.
In conclusion, our novel findings suggest a role for VN-growth factor complexes in stimulating corneal epithelial migration within the provisional wound bed and demonstrate that VN-growth factors interactions can be exploited to enable manufacture of bioengineered ocular surface tissue under serum-free conditions.
A design of experiments, testing four factors (i.e. nZVI concentration, nZVI surface modification, Cr VI) concentration and NO3− concentration), was used to select the best trials for the identification of the main effects of the factors and of the factors interactions.
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Two factors interaction (2FI) model has been suggested for SR.
The interaction graphs were used to show how the factors' interaction levels vary and their effects on response variable.
One such important step is posttranscriptional regulation of HIV-1 gene expression by HIV-1 Rev-host factors interaction [1].
Two factor interactions.
Some significant two-factor interactions were found.
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