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In spite of well cancellation of ICI, high wastage of bandwidth dismisses the usage of this algorithm in the practical systems.
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The high applicability and simplicity usage are the main reasons for the widespread use of this algorithm.
This allows for local usage of the algorithm in specific subsections of a genome and therefore simultaneous (parallel) processing of different regions.
In the network filtering stage, the algorithm stores a buffered network of size N b, limiting the computational complexity and memory usage of the algorithm.
Most of the test sequences are genomic sequences, so as to represent the typical usage of the algorithm.
For better coverage of the compounds and to assure their flexibility during usage of the algorithm a total of ~50 conformers were computed for every compound of the database.
Initially, it might appear counter-intuitive that the E-value threshold E0 = E k (A) depends on the algorithm A, but the dependency does reflect actual usage of the algorithm.
In this study, we illustrated the usage of the algorithms with the data from [1], [2].
The usage of these algorithms in applied expert-statistical systems to support decision making process is discussed.
The usage of the algorithms presented allows to process large image sets reducing the computational time.
Finally, we compare the performances of executing time and memory usage of the algorithms on the two datasets.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com