Sentence examples for large proportion of models from inspiring English sources

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A large proportion of models are manually curated to ensure reproducibility of simulation results.

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Although a large proportion of the models, such as the RT-PCR component, could be directly applied to other sequencing platforms, the models would then need to be extended to represent each platform's specific sample preparation protocol and sequencing error profile.

A large proportion of the models used the infants' gestational age and/or birth weight to calculate the risk for BPD (18 and 16 models, respectively).

20 A large proportion of the kinetic models (45%: 548 out of 1,212 models) are manually curated (fully MIRIAM compliant), a process that includes checking the behavior of the model when instantiated in a simulation.

A large proportion of the kinetic models (45%: 548 out of 1,212 models) are manually curated (fully MIRIAM compliant), a process that includes checking the behavior of the model when instantiated in a simulation.

A large proportion of the endoprosthesis models had been used in only a small number of operations.

Although statistical adjustment can help, a large proportion of variation within the models remains unexplained.

It should be noted that if interactions were omitted, a large proportion of the variability in models 6 and 8 was not captured by main effects and the variance of the error term ε i j k was the greatest source of variability.

A large proportion of previous work utilizing model-based fault diagnostics has focused on persistent faults and often neglects the case where the system intermittently switches between a faulty and non-faulty behavior at discrete random intervals.

However, a large proportion of genes, even in model animals, remain uncharacterized, and our Rfx2 target gene list contains dozens of genes with no known function.

On the other hand HS versus CS using z-normalization and HS versus MS using p-rank normalization were statistically significant (p-value < 0.05) and marginally significant (0.051), respectively, those models had a large proportion of raw features present in the model: six of twelve and five of twelve features, respectively, and the effect of the side-dependency is more noticeable.

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