The phrase "aggregating parameter" is correct and usable in written English.
It can be used in contexts related to data analysis, programming, or statistics where parameters are combined or summarized.
Example: "The aggregating parameter allows us to combine multiple data points into a single metric for easier analysis."
Alternatives: "combined parameter" or "summarizing parameter".
Importantly, aggregating parameters of all teams fares as well as the third best performing team, and therefore it is a better strategy to aggregate results from multiple teams than choose a single given method.
Each negative feedback loop is modelled using a Hill function; Ot is the static total operon concentration; k1, k2, k3 represent transcription rate, translation rate and tryptophan synthesis rate, respectively; kd1, kd2, kd3 are the degradation rates (aggregated parameters combining the decay rate and dilution rate due to cell growth).
However, the task is considerably more difficult if the gene network topology is not completely defined, as in challenge 2. Importantly, we found that aggregating independent parameter predictions and network topology across submissions creates a solution that can be better than the one from the best-performing submission.
Despite this, depth is a useful, and easily measured, aggregate parameter that has been linked to spatial patterns in biodiversity.
With only two free parameters per species one aggregate parameter to describe crown shape, and one parameter to set the so-called depth bias the model captures between-species patterns in average canopy status, crown radius, and crown depth, and within-species means of these metrics vs stem diameter.
The parametric approach will not detect subsets of regulated genes contained within a given gene list because all of the gene list values are summarized in one aggregate parameter.
Another possibility would be to reduce the complexity of the model by simplifying its model structure, e.g., by lowering the model order, or by aggregating some parameters.
For example, Pathak, Rane, Raj et al. [ 19] suggested running local models on each private data set and aggregating estimated parameters.
The Farris model breaks the aggregate parameters into two levels: sand and gravel.
In this paper a model for a pilot-scale tubular reactor is developed using aggregated-parameters.
