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Following the dataset-dependent observations described above, the impact of applying different modelling methodologies to experimental data on protein complexes was assessed.
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This manuscript focuses on describing the application of response surface methodology to experimental design and data analysis of the hot, humid air data.
We apply this methodology to experimental time series data characterizing the glycolytic pathway in the bacterium Lactococcus lactis [ 30- 32].
The use of the first moment of fluorescence is presented as a suitable methodology to avoid experimental fluctuations.
This paper presents a methodology to combine experimental, simulation, and statistical tools to reduce the time and cost of parameter studies.
Open image in new window Fig. 1 Global methodology to threat experimental data.
These case studies serve to demonstrate the adaption of the methodology to different experimental scenarios.
Application of this methodology to ongoing experimental projects and extension of its theoretical foundations are among our future goals.
2) Furthermore, we applied this methodology to recent experimental data 34 to extract kinetic information about conformational transition between the open and closed state of the protein Syntaxin1 with high temporal resolution.
Use of accepted experimental methodologies to compare a robot with biologically based models of emotion to lab animals.
Work in the Califano Lab includes a combination of computational and experimental methodologies to reconstruct the regulatory logic of human cells in genome-wide fashion.
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