Sentence examples for multiple computational techniques from inspiring English sources

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This program uses multiple computational techniques ranging from the atomistic length scale to continuum response.

This study examines multiple computational techniques to analyze dynamic responses of composite structures subject to Fluid Structure Interaction (FSI).

Gene models were developed by the use of multiple computational techniques and further supported by RNAseq data.

In these, we used multiple computational techniques, including those based on phenotype [ 35, 39], for disease gene prioritization, using sets of genes defined by multiple linkage analysis data available through the biomedical literature as starting point.

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The process of combining multiple computational intelligence techniques to build a single hybrid model has become increasingly popular.

This work also serves as an example of detailed protein function prediction that can be achieved by the combination of multiple independent computational techniques.

We used an array of computational techniques including multiple sequence alignment, exchange group similarities, and feature selection methods to identify possible factors that distinguish the contrasts for a larger set of 11 proteins.

The accumulation of large-scale interaction data on multiple organisms, such as protein-protein and protein-DNA interactions, requires novel computational techniques that will be able to analyze these data together with information collected through other means.

This work investigates the effects of multiple jet interactions and single jet instability on jet breakup and droplet size using experimental and computational techniques.

Whether you are studying the expression of thousands of genes simultaneously using DNA microarrays, or the interaction of multiple molecules to understand intercellular signalling, the skills that will help you understand your findings are statistics, computational techniques, and modelling--so all you really need is a mathematician.

Computational techniques for this task range from purely graph theoretical approaches involving single networks to alignment of multiple networks from several species.

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