Exact(6)
The results show the superiority of the proposed model in comparison with existing methods and predicted values are in good agreement with the experimental data.
Our proposed methods and predicted probabilities of tracking can help test whether one's observed tracking patterns are different from the statistically predicted ones.
Appropriate explanations were provided to the subjects for important factors including the study purpose, contents, methods, and predicted adverse reactions.
Additional details for the methods and predicted structure models are available at the CRW http://www.rna.ccbb.utexas.edu/, http://www.rna.ccbb.utexas.edu/CAR/1D/; the CRW contains supplemental information http://www.rna.ccbb.utexas.edu/SIM/4A/Fragmented_Mollusk/.
17 19 Transition probabilities were calibrated to adjust for the improvement in diabetes management since the WESDR reports (see Supplementary Methods), and predicted that around 30% of patients would be expected to exhibit a worsening in BCVA of at least 10 letters and 20% of patients would show an improvement of at least 10 letters over a 4-year time horizon (Supplementary table 1).
This annotation of PPIs resulted in: (i) identifying more evidence for curated PPIs and providing more biological context for them, and (ii) providing some level of validation for PPIs detected by high-throughput methods and predicted computationally (human interpretation and curation of extracted evidence is still required).
Similar(54)
In addition to presenting state-of-the-art research, the book reviews the historical origins of the different existing methods, and predicts future trends and challenges.
The predictor analyses showed that the number of short-term days in nursing homes were independent of gender, age, marital status, emotional status, diagnoses and the rehabilitation method and predicted negatively by cognitive status and SI at end of rehabilitation.
Biocomputational methods screened and predicted ligands that could have some inhibitory effect on the aggregation of α-syn protein.
We use a Bayesian posterior inference method and predict experimentally feasible scenarios to purposively reduce uncertainty in the model trajectories.
The mathematical calculations provide the conceptual foundation for the method and predict its performance given a basic evolutionary model for sequence divergence.
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