Sentence examples for model ranking and from inspiring English sources

We also discuss an NCD method for obtaining the model ranking and selecting the best model from among SRGMs based on a set of criteria taken all together.

We are currently improving the performance of the method for hard template-based targets by increasing the accuracy of model ranking and integrating ab initio modeling with TBM to enhance model generation.

The mean of the logarithmic score is a robust tool for model ranking and is not sensitive to sample size.

This outstanding performance demonstrates our large-scale model QA approach is a promising direction to advance the state of the art of protein model ranking and selection.

We also introduce tools for model ranking and for evaluating the performance of the proposed model alternatives based on a prediction-oriented approach.

PROCHECK (Laskowski et al., 1993) was used for their stereochemical evaluation and VERIFY_3D (Lüthy et al., 1992) and PROSA II (Sippl, 1993) employed for model ranking by solvent exposure and residue residue contacts.

Based on this result, we suggest algorithms for the model rank selection and compare them with the algorithm suggested by Bunea, She and Wegkamp.

Our main objective is to predict the fatigue life of materials by providing a systematic approach to model calibration, model selection and model ranking with reference to S-N data.

The two major problems of protein structure prediction are model sampling and model ranking.

Instead, it provides a quantitative model ranking which discourages complexity and is based on the ability of models under consideration (among which the 'correct' model may not even be present) to be fitted to the data.

The robustness of the model was also supported by null model tests, which showed that our model ranked first and scored significantly higher than the 99 null model AUCs (median  = 0.9191; 95% CI  = 0.9076 – 0.9305; P = 0.013).