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In addition, taking into consideration of the measurement error and nonlinear characteristics, ±50% uncertainty in all of the parameters were reasonable for robust analysis.
However, little is known about the quality and quantity of normal tissue effects in vivo, which is an important aspect for robust analysis and establishment of both effective and safe treatment parameters.
However, the exploration of different materials systems and the potential usage of indentation as a precise and quantitative method beyond the research laboratory have prompted intense modeling and interpretation efforts for robust analysis of experimental results.
However, the 24 h intervals of our experiment would not fit the time scale of functional communications between most genes, and the statistical power from only 5 time points would be too low for robust analysis.
However, the sample size was too small for robust analysis.
CC, AM, DGB and FA developed the methodological pipeline for robust analysis of bistability.
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Unfortunately, we cannot pursue this issue for we do not have sufficient data for a robust analysis.
Each algorithm was run for 1,000 trials in order to obtain enough data for a robust analysis.
It gets more detailed in the way it evaluates data at the state level, since the states provide for 50 data points in each past election rather than just one, allowing for more robust analysis.
This has potential to support fast growth plantation monitoring, offering options for a robust analysis of high-dimensional data.
The model is developed in a general form such that it can be extended for the robust analysis of other systems or experimental conditions.
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