Sentence examples for model alone predicts from inspiring English sources

It was previously shown that an integrated model of E. coli correctly predicts the growth phenotypes for 10,833 (78.8%) of the total 13,750 cases (mutant grown in a single environmental condition), while a metabolic model alone predicts 8,968 (65.2%) cases correctly [ 19].

Experimental results showed that the SVM model that used DNA sequence data alone predicted more binding sites than the SVM model that used both DNA and protein sequences, but the overall performance of the latter was higher than that of the former.

In our models, post-treatment pain intensity alone predicted future pain intensity as well as or better than the post-treatment model built using many more predictor variables.

Simple models based on age or BMD alone predicted 10-year risk of major and hip osteoporotic fractures, as well as more complex FRAX models.

These previous studies suggest that multivalent protein carbohydrate interactions are far more intricate than simple binding models alone can predict.

They concluded that the univariate Cox model alone was insufficient for predicting survival and that the ridge regression Cox model demonstrated the best performance in three datasets.

For cyclic loading, a kinematic hardening material model alone is not enough to predict ratchetting damage, plastic deformation and initiation of rolling contact fatigue (RCF) defects at the rail ends of IRJs.

Second, the NOD model alone has been ineffective to predict efficacy of preventive therapies when translated into humans.

Mutant strains seem to evolve and increase their growth rates to the optimal values predicted by the integrated model, but do not reach the values predicted by the metabolic model alone.

The ROC area for the risk model including categorical plasma HBP to predict the primary endpoint was 0.82 (95% CI 0.77 0.87) compared to 0.78 (95% CI 0.73 0.84) for the risk model alone (p = 0.03, n = 489).

At such sites there are substantial risks associated with complex socio-ecological interactions that are hard to characterize, let alone model and predict.