Second, this can be a very crucial observational constraint since most models proposed so far are expected to preferentially work in higher latitude regions than the low latitude region studied here.
Most models developed so far use Wiener processes to represent this behaviour, which in aggregated models, such as those based on Coupled Fokker-Planck Equations (CFPE), have a negligible effect as "white noise".
Most models applications so far have been descriptive in nature; the model proposed in this work is "normative" in that it aims to guide actions towards optimal outcomes (e.g. optimising the nitrogen balance through the whole supply chain).
Most models developed so far have been indifferently applied to cytotoxic and cytostatic drugs, including angiogenesis inhibitors such as pazopanib.
Most models discussed so far assume a constant state of the disease, which is nonrealistic in cases of chronic progressive diseases like diabetes.
Here, we present only the most parsimonious models, so that Σ w i values are smaller than 0.9 (complete overview in Additional file 5) Factor sets Scale [km] df log AICc Δi w i Σ w i R2 cond.
Mechanisms subsequent to transcription initiation are kept simple (as in most models) but explicit so that we can assess how promoter stochasticity propagates up to RNA and protein levels and confronts to other sources of gene-intrinsic stochasticity.
The most models, which are known so far, do not meet these requirements in their entirety.
Kopanitsa's group wants to know which cognitive parameters change the most in mouse disease models, so that Charles River's clients can then use those parameters to test novel drug treatments perhaps finding a drug that reverses the altered parameter back to that of normal mice.
Only two of the 15 articles used a form of external validation, and so most models require further validation in order to investigate their true performance.
