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In summary, we believe that the Protoss method is a useful component for all software tools that model protein-ligand complexes.
PHACCS and CatchAll are sophisticated tools that model community diversity based on the assembly of metagenomes, while clustering is a simple method that provides a proxy for viral richness and has been used to generate rarefaction curves.
Improving the tools that model the spatial distributions of SOC stocks at national scales is a priority, both for monitoring changes in SOC and as an input for global carbon cycles studies.
Tools that model lactational transfer of compounds will also be useful (Verner et al. 2008).
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We suggest a combination of graph theory, Big Data and Uncertainty Quantification are foundational tools that can model architectures and more importantly the movement of data across architecture interfaces.
However, the need for reliable and efficient design tools that accurately model the emerging nonlinear post-buckled landscape, potentially one containing multiple branches, remains.
The utility is interested in tools that can model surface water yield and water quality.
The complex nature of this information motivates the search for analytical tools that can model these interactions to examine associations between gene interactions and cancer.
What's also largely missing are tools that describe models' content and govern those models.
The authors used four tools that were modeled on disease specific quality of life and well-being instruments.
Similarly, the predictive engine that links stimuli features to brain signal is best chosen amongst machine learning tools, that balance modeling flexibility and regularization, such as a naive Bayes predictor [ 12], sparse [ 13] or ridge [ 14] regression.
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