We applied our methods based on the local implementation of network-based algorithms and secondary memory-based computation to the multi-species protein function prediction in bacteria and eukarya.
In the next section we introduce our proposed approach based on the local implementation of network-based algorithms and secondary memory-based computation for the multi-species AFP problem.
We discuss algorithms for lattice-based computations, in particular lattice reduction, the detection of nearest neighbors, and the computation of clusters of nearest neighbors.
We compared the runtime required by main memory and secondary memory-based implementations (Section "Secondary memory-based computation") of the RW algorithm described in Section "Local implementation of network-based algorithms".
This experience with devices and algorithms has been the foundation of his work on oscillator-based computation, to design which he wrote his own CAD tools.
It is worth noting that we do not propose novel algorithms, but simply their "local implementation", according to a vertex-centric programming model, necessary for secondary memory-based computation [ 14].
Benenson, Y. RNA-based computation in live cells.
Says Camp, "Alex pioneered the concept of human-based computation.
2. Secondary memory-based computation.
Note that the two Badouel-based algorithms perform less computation than the other two algorithms at a cost of reduced accuracy.
Although this algorithm does not make use of the FFT, its performance is comparable to the one exhibited by the previous FFT-based algorithms involving the computation of only one base.
