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This contrast with classical computationalism is often characterized by saying that representation is, with respect to computation, distributed as opposed to local: representation is local if it is computationally basic; and distributed if it is not.
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Computationally, the basic goal of this network comparison or 'querying' is to uncover identical or similar subnetworks by mapping the queried network (e.g. a pathway or functional module) to another network or network database.
This paper provides the first experimental demonstration of such a system, characterizes its components, models the system computationally, and provides basic design rubrics for further development.
Utilizing dialkylamino cyclopropenimines as hydrogen bond acceptors in tri-substituted guanidines and cyclopropenimines, we computationally designed the most basic superbases possessing intramolecular hydrogen bonds (IHB-superbases) so far.
Even though the more advanced descriptors in the LBP family are more computationally expensive than the basic LBP, they are all computationally inexpensive compared to common filter bank-based texture descriptors such as Gabor filter banks and MR8.
As well as providing tools to make the basic analytic steps computationally efficient, PLINK also supports some novel approaches to whole-genome data that take advantage of whole-genome coverage.
At present, the only type of phenotype data searched is the observables, as it would be too computationally intensive to have this basic search access all the different aspects of phenotype data (we plan to address this in the future, as described below).
Hence, the list-based model is computationally easy to tackle in its basic version.
Short segments are more convenient systems, because their smaller sizes make them easier to study experimentally and computationally; at the same time, the basic principles are likely to be unchanged.
Initial implementations of basic K R recursive algorithms are computationally inefficient and thus, time-consuming [15, 16].
The basic IFE process becomes extremely computationally demanding in high dimensional datasets, such as the case of omics data.
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