Sentence examples for model readout from inspiring English sources
Computer-based solutions from clinical interventions (e.g., oral glucose tolerance tests with "minimal model" readout) have limitations because of the high number of samples required from each subject.
Ime2 is used as the model readout for sporulation phenotypes because it is the most downstream protein that reflects changes in all others in the pathway.
Therefore, with a view to extending model conclusions to other cell types, we sought to explore the behaviour of the key model readout (steady state protein expression level, p̄) in the wider range of plausible parameter values, including those found in cancer cells.
For each fixed dose of tamoxifen, for each model parameter K j, we calculated the PRCC index, that represents a standardized sensitivity metric of correlation between the value of the model readout (pˉ ) and model parameter K j.To reduce the influence of nonlinearity, the correlation was calculated based upon ranks rather than absolute values.
Finally, the authors consistently refer to neuropathic model readouts as pain.
Model readouts included animal survival and clinical signs, cyto-/chemokines profiling, MMP levels, apoptosis, BBB breakdown, and intracerebral haemorrhages.
In order to design optimized cells, in term of geometry and materials, for present and future technological nodes, physics-based models for readout, programming and data retention are required.
Nevertheless, it allows modeling the readout of apoptosis after FasL stimulation with qualitative agreement and includes crosstalks from collagen/integrin signaling, the effect of genetic deletion of Bid and the consequences of viral infection.
Activation of antimicrobial peptide (AMP) genes and quantification of pathogen load are widely used in both larval and adult fly models as readouts of the immune response.
The noise model of the readout circuit is given.
This requires the identification of a quantitative model describing the readout y as a function f depending on multivariate input variables x ̲ : y = f ( x ̲ ), y ∈ ℜ, x ̲ ∈ ℜ n, n ≫ 1.
