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We stress-test CTP with a quantitative testing method which searches for topologies using evolutionary algorithms combined with protocol simulation.
The method which searches for these local minimum and maximums in the projection vector is as follows.
The independent component analysis (ICA) represents a main BSS method which searches for stochastically independent signals from the multivariate observations.
To this end, the ML method, which searches all the possible combinations exhaustively, is employed, and the estimation of locations of targets and breath frequencies is also performed in this process.
The traditional global search method, which searches the optimal position by scanning through all possible focus positions with constant step size, has two major limitations: high computational cost and suitability with only narrow focused image.
Recently, a new method which searches for flow paths over global scale, called global D8 or GD8, was proposed as an alternative to D8. GD8 relaxes uncertainty generated at a local level over an entire flow path while still defining specific flow paths without artificial dispersion.
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CFinder is one of the most popular clique-based methods, which searches adjacent cliques in the network [ 8, 10, 11].
Therefore, it has the ability to avoid being trapped in a local optimal solution like traditional methods, which search from a single point.
A traditional way to estimate such ranges is to use enclosing surface methods, which search for convex enclosures like balls or prisms, of the entire history path in stress or strain diagrams.
Our focus for the benchmark is methods which search for TFBS using known models of binding sites, not ab initio TFBS discovery.
The focus here is on three dimensional (3D) template methods, which search for local structural similarity of key functional residues in separate proteins [45] using methods such as geometric hashing [46] [48].
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