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Using population genetic parameters, we compared variation among transporter families and superfamilies, and in transporters expressed primarily in the liver versus those expressed primarily in the kidney.
For the comparison between Pictar, Stark and PITA, the specific parameters we compared were Pictar S1 anchors, Stark BLS score 0.9 and PITA 3/15 set.
Using the optimized model parameters we compared the experimental results with the predicted response of our model to changes in the cell proliferation rate α1.
To determine if human interaction caused pups to change their emitted call types or acoustic parameters, we compared spontaneous and provoked vocalizations of PND 13 pups (n = 16).
As both algorithms are influenced seriously by the parameters, we compared the relative error of the two algorithms by given different parameters.
To compensate for the absence of true parameters, we compared the two models visually, plotting the mean predicted values from the two models and the true effect.
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After analyzing the performance of the FCS rule for different design parameters, we compare the FCS rule with the well-known scheduling rules.
By using these simulation parameters, we compare the proposed scheme with the full feedback scheme and geometry-based algorithm in terms of amount of CQI feedback and system throughput.
To ensure a fair comparison of methods which are governed by different parameters, we compare a genetic algorithm with the population size n p, the maximal number of generations n g, and the fittest survival rate r f with a repeated random draws algorithm which makes n h draws computed as follows: begin{array}{*{20}l} n_{h}= 1-r_{f} times n_{p} times n_{g} + r_{f} times n_{p}.
Having the tuned parameters, we compare the performance of the proposed intersection approach with alternative systems (without intersection algorithm or limit on section types).
Using constant reaction rates (which can be easily related to simulation parameters), we compare the amount of complex binding at equilibrium between these different layouts.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com