For both types of models we display effects in profile plots.
To evaluate the performance of the predictive logistic models, we displayed the average sensitivity/specificity across all 10 trials via Receiver Operating Characteristic (ROC) plots and calculated the area under the ROC curves (AUC) [60].
In the basic model (model 1), we display the crude association between the exposure of interest and AMH level.
We display the model-improvement mechanism in Algorithm 2 which has the same principle as Algorithm 2 proposed in [14], with a constant (omega in 0, 1)).
The feedforward model we investigate displays a tradeoff between the sensitivity of the response (its peak response) and its precision (its error in its return to steady-state).
We displayed all models at this elevated level as most raptors perch on the ground only after capturing prey and thus no longer represent an urgent threat.
Transitioning into an in vivo model, we observe that mice displaying craniofacial malformations and midline brain defects arising from an acute, early gestational exposure also display epigenetic errors, and that these signatures of change are consistent with those modeled in vitro after a recovery period.
In agreement with the previously generated fish model, we reproduced pancreatic cancers displaying some similarities and some differences to both human and mouse models.
From the estimates of the model, we produced smoothed maps displaying geographical patterns of female gender cancer mortality for each age group, cancer site and year since 1969 till recent almost to date.
As animal model we chose rabbits, as they display a human-like lipoprotein profile, express CETP, and develop atherosclerosis upon a cholesterol-rich diet.
Interestingly, by further investigation using the branch-site model, we detected many branches which displayed evidence of positive selection (The p value of the likelihood ratio test <0.001), indicated by bold branches in our lys2 tree.
