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The interactions of 4-methylenesterols with ERRs were investigated through a multi-parametric approach involving biological assays and molecular modelling.
We further used a multi-parametric approach to identify relationships between the PR+ structure, PR+:siRNA complex physical properties, and biological activity.
Taking into consideration the multi-parametric approach to the technological creation of the surface layer features, investigations regarding the dependence of scuffing performance on morphological, rheological and physical-chemical properties were performed.
Quantitative multi-parametric approach is therefore essential to extract and visualize composition information from the multicolor data.
Technically, the main advantage of our multi-parametric approach is the ease of discovery and interpretation of informative factors contributing to differentiation-pathways between separable output observations.
Lastly, we examined the effect of single parameter perturbation on overall state sensitivity and further compared the results with those from the multi-parametric approach.
We will then analyze how the single parametric global sensitivity analysis can strengthen or weaken the results from the multi-parametric approach.
Our multi-parametric approach described here will therefore advance multi-scale modeling platforms by exploring critical molecular elements involved in phenotypic decisions on a single-cell level [37].
With respect to this, we note that it is true only for each single parametric perturbation, i.e., the inhibitory effect may not be active in the dynamic changes of multiple parameters as observed in our multi-parametric approach.
A multi-parametric approach must be taken to improve operation list utilisation.
A multi-parametric approach with these features may provide prognostic information in patients with anal SCC undergoing treatment with chemoradiotherapy.
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