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In addition, we introduce a third time scale for the modelling output, the initiation of apoptosis and necrosis as a function of the steady state of the remaining signalling variables.
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PSA lets uncertainty in the input parameters be reflected in the model output (the ICER).
When the analysis indicates that parameter variation does not impact the model output, the parameter value can be fixed.
In processing the model output, the user is allowed to choose the method for selecting which model best describes the data with the least amount of complexity.
Table 1 shows the input data and Table 2 the modelled outputs.
Step 4: Calculation of the statistical properties of model outputs: The model outputs are estimated followed by the estimation coefficients.
The co-occurrence model outputs the two scores of co-occurrence for each article.
The query sequence is classified into a family whose hidden Markov model outputs the lowest e-value (correspondingly the highest alignment score or fitness score).
Each run of the model outputs the time from sporozoite inoculum to qPCR and blood slide detection of merozoites; these values are compared with CHMI data.
GSA allocates the uncertainty in the model output to the various sources of uncertainty, namely the model parameters.
Usually a small number of parameters accounts for the majority of the uncertainty observed in the model output whereas the majority of parameters have little to no effect on the model output when varied within a certain range [38].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com