Thus there may be differential roles for JNK1 and JNK2 in protection from liver injury, however these findings are not consistent across different models, and reduction of JNK2 expression does not consistently have deleterious effects.
The results provided some useful insights for further improvement of the model and reduction of the output uncertainties through separate-effect experimental studies.
In our study, we first demonstrated that miR23b effectively reduces neuropathic pain by reducing the expression of the inflammation-promoting factor, NOX4, in an animal model, and reduction of miR23b expression produced pain symptoms.
The Akaike information criterion (AIC) was applied for metabolite-specific stepwise model evaluation and reduction of model complexity with regards to fixed effects (all fixed effects except time were considered optional).
The next section presents the methods: stochastic forest growth models and their reduction to Markov chains which are then used for prediction and optimization.
The performance of the different models and dimension reduction techniques are data dependent with no method dominating the others [ 23].
Besides, experiments must often be designed for estimation of model parameters and reduction of variances of model predictions (or parameter estimates).
Application of statistics to data sets from toxicologic pathology studies involves hypothesis testing, model fitting, and reduction of dimensionality.
In this paper, we have presented a strategy for model simplification and reduction based on the CSP method.
The first part of this tutorial describes the deterministic modeling and model reduction techniques, as applied to the class of biochemical reactions specific to molecular cell biology.
