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Mathematical models and bioinformatics platforms that perform high level computational integrated pathway analysis may reveal clinical relevant signaling pathways amenable for targeting in individual patient tumors.
This framework provides a link between high level computational problems, the properties of cortical neurons, and synaptic physiology.
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We focus on two classes of models: those that incorporate aspects of biological realism and constrained by functional principles, and more abstract mathematical models focusing on the higher level computational goals of the BG.
The chapter concludes with a soft introduction to MATLAB for numerical and symbolic computations, a widely used high-level computational tool for analysis and design.
It transforms a self-stabilizing algorithm in a high-level computational model to a program for sensor networks.
In the current study, we reported a rational biomolecular design of halogen-bonding system at the complex interface of CAMK's C-terminal peptide with MUP PDZ5 domain by using high-level computational approaches.
However, the majority of them simply pay attention to the density of edges rather than the signs of edges as the attributes to cluster, which usually suffer a high-level computational complexity.
We show that there exists a non-silent algorithm that behaves correctly in a high-level computational model but its transformed version by CST does not behave correctly if packets are lost.
High-level computational studies have provided seminal insights into the nature of organoytterbium intermediates and their reactivity.
Similarly, in our experience, bioinformatics is often introduced in such a way that high-level computational skills are required to understand the bioinformatics content.
The numerical results demonstrate the high level of computational efficiency and excellent computational accuracy by comparison to direct Monte Carlo simulation and original Line Sampling based on design point simulation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com