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Altogether, the number of unknown parameters in the model with Equation (2) is three plus the number of protein samples (each dilution series count as one sample), which can be in the hundreds.
Since the presence of NF-κB in the nucleus (i.e., activation of NF-κB) does not immediately lead to fluorescence seen in the images it is required to augment the developed model with equation describing transcription/translation as well as activation of GFP.
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Observed Phe data from Experiments A, B, D and E along with predicted values (modeled with Equation 11) are plotted in Figure 10.
Development of compositional modeling with equation of state formulations has received an increasing attention in recent years (Varavei and Sepehrnoori 2009).
IBD was modeled with Equation [8] with either a 10% increase in mutation or stem cell division rates (Fig 2H).
The quotient data, Q obs(h), were modelled with equation (6) using a second Flack parameter; it is this parameter which characterizes the absolute structure.
The later and lower incidence of metastatic cancer can be modeled with Equation [8] and the same parameters as for all colorectal cancer except k is increased from 6 to 6.5 (Fig 2D).
Model fitting with Equation (4) is relatively simpler than that with model fitting with Equation (2), which involves much more unknown parameters as in the existing methods of RPPA data analysis.
The model defined with equation (3) uses 5 l parameters more than the model defined with equation (2).
Bivariate correlations were computed and a two-factor model was tested against a one-factor model with structural equation modeling, using Amos 16.0.
One of these tools is thermodynamic modelling with equations of state (EoS).
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