Such culture systems are optimally suitable for the exploration of pathogenic events within a context of manageable complexity that can be subjected to multiple genetic, pharmacological, toxicological, or physical perturbations.
All relevant reactions take place inside the vesicle, which yields well defined boundary conditions for a numerical simulation of manageable complexity.
By formalizing and implementing mediation we establish a partitioned information systems architecture, which is of manageable complexity and can deliver much of the power that technology puts into our reach.
We believe this approach to be of interest in its own right, since this is the first technique permitting to mathematically verify, at manageable complexity, high-level properties of a fault-prone system in terms of its very basic components.
The main advantage of this approach is that it leads to smaller design problems of manageable complexity and it gives the designer more flexibility.
There is complexity, then, but it is manageable complexity.
In response to this issue, we present an approach that applies the Blocking Island Paradigm to solve the problem efficiently with much lower and more manageable complexity.
Numerical tests using synthetic and real data confirm that the developed algorithms can effectively identify piecewise-constant AR models of large size at manageable complexity, and outperform heuristic alternatives that are based on the GLRT.
We believe that the data presented here justify further exploration of this and similar (e.g. mammalian cell based) systems of increasing yet manageable complexity useful for the development and testing of network and systems-based pharmacological therapies.
In addition, we generalize this new multitask regression to structurally regularized polynomial regression to detect epistatic interactions with manageable complexity by exploiting the prior knowledge on candidate SNPs for epistatic effects from biological experiments.
