Sentence examples for model by testing from inspiring English sources

The next step of the in silico modeling process was to validate the model by testing if it can reproduce the behavior of the biological system and its components as observed in the laboratory.

This paper outlines a sequential approach to improve the predictions of the AZODYN model by testing various formalisms.

Currently, most decision makers require 'validating' a model by testing its predictions with new experiments or data.

At its most basic level, the process consists of three steps: Identify an important unmet job a target customer needs done; blueprint a model that can accomplish that job profitably for a price the customer is willing to pay; and carefully implement and evolve the model by testing essential assumptions and adjusting as you learn.

Several experiments are conducted to demonstrate the applicability of this model by testing various model parameters on bio-fuel supply chain network performance, including reliability improvement cost, availability of budget, biomass supply changes, and the risk averseness degree for decision makers.

This prediction is then used to validate the model by testing its correctness against an unknown dataset.

This study contributes to research on dual-process models by testing an interactive approach for explaining information-processing strategies that individuals use in travel decision-making.

Here, we assessed the physiological plausibility of these different models by testing their respective predictions regarding event-related BOLD modulations (forward inference using fMRI).

We evaluated the fit of the regression models by testing the residuals for normality and by inspecting the residual plots.

Additionally, we validated the proposed GRN models by testing if they also recovered gene configurations of experimentally characterized loss and gain of function mutants.

MiRNAClassify is compared with several state-of-the-art methods and some well-known classification models by testing the datasets about human, animal, and plant.