Sentence examples for model we wrote from inspiring English sources

Logistic regression analysis on meteorological data was done using the package nnet in R. To simulate a network from our model we wrote a program in R based on the distributions described in the previous section.

If a pathway included several steps producing intermediate metabolites not required by any other pathway included in our model, we wrote the whole pathway as one reaction, unless we had reasons to include the intermediate reactions.

In the following model, we write all the rules as a linear constraint.

In order to validate the proposed analytic model, we write our own event-driven simulation program in MATLAB.

To model this problem as a regression model, we write the disease gene network as a linear combination of the drug-gene subnetworks.

By the time people finally got online, social media platforms like Facebook or Instagram already dominated the market and detracted from the Web 1.0 ad revenue model (we write about SEA leapfrogging web 1.0 extensively, here).

For the Weibull model, we write and with unknown parameters μ h and ρ h, while the exponential case is reduced to those of ρ = 1.

In the Abstract, we characterize the data as "providing in vivo evidence for the idea that developing neurons…" and in the Discussion we characterize the intermediate target hypothesis as a "model" and we write that the data "provide in vivo evidence for this model", and that "alternative models are also consistent with the data".

To describe the veto model mathematically, we write the expression for the run bias (the fraction of time that a cell spends running) as a function of the CCW bias (the fraction of time that each flagellum spends rotating CCW).

Within this model, we can write f i as in Eq. 4. Fig. 4 A set of Gaussian filters where N=3, (mu _{i}=lambda _{min}+frac {Delta Lambda (2i-1) }{2N}), (sigma = frac {Delta Lambda }{N times 4}) and B i =1.

Remember that in the Standard Model, we first write down a mathematical "ingredients list" of all the particles that we think are in nature (and their properties).