The comparison of drawing load and some geometrical characteristics of experimental samples with numerical model predictions allowed to establish a good correspondence of model with experimental findings, thus validating the numerical model.
An important prerequisite for performing such predictions is to establish a model that is able to describe the dose dependency of the signaling pathway 12. Similarly, in a human cancer cell line treated with the pro-apoptotic cytokine TNF-α in combination with the pro-survival factors EGF or insulin, apoptotic responses have been linked to short-term signaling.
To assess the probabilities of success, we applied the Business Opportunity Strength BOSS) prediction model to establish the execution risk and then calculated the combined risk by multiplying market, technology and execution risk.
Our approach may therefore provide a useful complement to ab initio gene prediction methods to establish gene boundaries and define UTRs.
The absence of insulin secretion assessment limits correction of the prediction models to establish independent prospective associations with insulin resistance; yet, we have previously shown that fasting amino acid concentrations are primarily associated with insulin sensitivity rather than insulin secretion (13, 14).
Evaluation of forest landscape model (FLM) predictions is indispensable to establish the credibility of predictions.
The WA results are compared with model predictions in order to establish indication of scratch adhesion strength aimed at improving the manufacturing process.
This prediction is used to establish a temporal commitment with the client that invokes the execution of the task.
Future studies directly comparing indexing methods in clinical event prediction are needed to establish the best method for indexing LA size.
Systemic genomic analysis of the GC content, repeat sequence, etc. was carried out by prediction software SLAF_Predict to establish condition to ensure the uniformity and density of the molecular markers.
Our methodology included the extraction of promoter regions for miRNA genes defined by trimethylated histones, computational prediction of TFBSs to establish TF→miRNA associations, and the use of time-course expression data for TFs and miRNAs measured during monocytic differentiation to assess reliability of the predicted TF→miRNA associations via time-lagged expression correlation analysis.
