Sentence examples for model to published from inspiring English sources

We favorably compare our model to published data from CRISPR-Cas9, CRISPR-Cpf1, CRISPR-Cascade, as well as the human Argonaute 2 system.

The best-fit of the model to published data is shown in Figure 1B.

We describe phases of the model development process: defining the model structure or health states; specification of model parameters and assumptions; and estimation of parameters by calibrating the model to published studies and SEER data.

In this paper we derive a thermodynamic model for microtubule dynamics and use this model to perform Monte Carlo simulation where we include the contribution of water to the entropy of the system and we fit all the parameters of our model to published experimental data including the hydrolysis rate of GTP.

We fit the differential equation model to published microarray data using a penalized nonlinear least squares approach.

Observations from recent application of the validated H1 seroarcheologic model to published data linked preexisting H3 antibodies to the pandemic of 1890 (32 ).

He uses econometric models to publish niche reports in the thousands.

Additionally, we show how this method can be used for model discrimination by comparing the output identifiability of two candidate model structures to published literature data.

The selection model applied to published data yielded a slightly different ranking, with paroxetine, mirtazapine and venlafaxine XR tying for first and venlafaxine was fourth.

In the regression model applied to published data, venlafaxine XR was first, venlafaxine and paroxetine tied for second and mirtazapine was fifth.

In a specific network of placebo-controlled trials of antidepressants, based on data already described and published previously by Turner et al., comparing the results of adjustment models applied to published data and those of the standard NMA model applied to published data allowed for assessing the robustness of efficacy estimates and ranking to publication bias or related small-study effects.