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Nguyen and Tran [17, 18, 19] introduced a computational model of trust, which is also combination of experience and reference trust using fuzzy computational techniques and weighted aggregation operators.
We have recently introduced a computational model of sprout formation in an in vitro assay of angiogenic sprouting from endothelial monolayers in fibrin matrices (Boas et al. 2013).
Robert Beckman (Daiichi Sankyo) introduced a computational model of targeted cancer therapy incorporating genetic evolutionary dynamics and single-cell heterogeneity [ 43].
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Here, we introduce a computational model of tactile flow, which is intimately related to existing models for the visual counterpart.
This paper addresses the problem of extracting view-invariant visual features for the recognition of object-directed actions and introduces a computational model of how these visual features are processed in the brain.
We introduce a computational model of these mechanisms to provide a mechanistic understanding of age-related epigenetic drifts.
Schwobel et al. introduced a computational model that incorporates electrophilicity and steric hindrance to predict the reaction rates of unsaturated carbonyl derivatives with glutathione (GSH) across a variety of functional groups.
In this work, we introduced a computational model that extends the previous splicing code with new prediction targets and improved tissue-specificity, using a learning algorithm that scales well with the volume of data and the number of hidden variables.
Campbell, E. J. & Bagchi, P. A computational model of amoeboid cell swimming.
We introduce a computational model based on experimental and physiological findings.
We introduce a computational model that integrates evidence garnered from protein interaction, domain and post-translational modification data, to systematically address fundamental questions of nuclear compartment localization.
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