We end by proposing a set of mutations altering the swapping propensities, whose experimental characterization would contribute to refine our in silico derived hypotheses.
In this approach, we refine the spatial sparsity methods by grouping the cells and proposing a hierarchical search of the device position.
This paper proposes a method to refine the predicted complexes based on the protein activity and the complex formation model.
Finally, an additional step is performed to refine the model, by proposing and assessing alternative models, which are generated by adding or removing edges in the initial model, or by reversing the causal direction of an edge.
The designers, associated with the stakeholders, can then refine the process by proposing scenarios.
The management was proposed and refined through consultation until a consensus was reached from the expert panel.
They also proposed a heuristic approach to refine the gene tree by first minimizing duplications and then losses.
The proposed approach, Refined Stratified Sampling (RSS), capitalizes on these properties through an adaptive process that adds samples sequentially by dividing the existing subspaces of a stratified design.
In addition, we propose a heuristic algorithm for refining the base-pairing probabilities to improve the prediction accuracy of IPknot.
