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The parameters of the kinetic model represent the physiological effects that the cultivation parameters impose on the organism.
(a) Coefficients of the logistic regression model represent the contribution of ChIL-seq signal in each 100-bp bin around TSSs to predicting the presence of ChIP-seq peak.
Since the computational particles employed by the FP model represent the same data as in DSMC, the coupling between the two methods is straightforward.
Therefore the states in the final reduced model represent the degrees of freedom of the nodes that are selected by the designer.
(b) Coefficients of the logistic regression model represent the contribution of the ChIL-seq signal in each 100-bp bin around transcription factor binding sites (TFBSs) to predicting the presence of the ChIP-seq peak, as explained in Supplementary Figure 3a.
The node locations of the discrete model represent the transmitters of a practical network.
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This integrated model represents the first example of modeling "network level regulatory patterns" of multifunctional pathways.
The first concerns how realistically the model represents the current epidemiological situation for HAV in the Netherlands.
The model represents the great experiment of economists who have never had to manage anything.
We performed conditional analysis using LRT to determine which model represented the best fit.
This model represents the dynamics of innovation in complex systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com