Sentence examples for model involving random from inspiring English sources

While alternate possibilities discussed above could potentially explain cooperative kinetics observed for non-native acyl-ACPs in reaction with BmaI1, our best evidence so far supports a model involving random addition of substrates with acyl-ACP binding first to the free enzyme (top pathway in Scheme 1) more kinetically preferred over SAM binding first to the enzyme (bottom pathway in Scheme 1).

26 Creating reproducible results in the BRT model requires setting a random seed, as the process used to create the BRT model involves random subsampling of data.

Parameter uncertainty was quantified using Monte Carlo simulations, with the model evaluated 10 000 times, with each simulation involving random draws from each parameter distribution.

This general approach of using simpler models, with extensive simulation testing, largely contrasts with the current trend in ecology to fit rather complex models, often with hierarchical specifications involving random effects, or state-space models that attempt to separately model observation and process components [12], [33], [34].

Our model also involves random gene duplication and deletion events (birth and death of new protein-coding genes) which happen at rates rdup and rdel correspondingly.

Unlike the traditional hybrid uncertain static analysis involving random and interval variables, the concept of random and interval fields has been implemented to model the spatially dependent uncertainties associated with the system inputs.

This cross-validation approach, involving random splitting of subjects into "training" and "testing" sets, provides a good indication of how well the model characterizes meaningful patterns in the data that are useful for prediction, rather than random noise [ 57].

In contrast, the evolution of a stochastic model involves a random component and future states are not predictable.

The RNA-Seq data consist of reads from one end of each of the N fragments, each read of length L. The single-end model involves four random variables for each of the N reads: R n, the sequence of read n; T n, the full transcript path from which read n was derived; S n, the subpath of T n from which read n is derived; and B n, the position in the sequence of at which read n begins.

FORWARD genetics in model organisms, which involves random mutation and isolation of a phenotype, laid the foundation for characterization of gene function.

The variance of the spatially structured effects, σθ was 0.0059 for model 1, which involved random effects but no explicative variables.