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For corticobasal ganglia connections only, separate analyses were performed using streamline data generated from the graph theory pipeline (volume un-normalized and normalized) and from the corticobasal ganglia connectivity pipeline (volume normalized only).
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Finally each fragment generated from the reduced graph is expanded back to a molecular fragment graph.
Thus, measures achieving higher AUPR scores have better performance, i.e. they more correctly cluster similar networks generated from the same graph family and separate dissimilar networks generated from different graph families.
We systematically evaluate the performance of the network distance measures by computing how well they can cluster topologically similar networks generated from the same graph family.
A good network distance measure should be able to easily identify networks generated from the same graph family when the networks with same sizes and densities are considered.
An ideal network distance measure should also be able to identify networks generated from the same graph family even if their sizes and densities are different.
That is, a given network pair is in the True evaluation set if the two networks are generated from the same graph family and in the False set otherwise.
Contigs were generated from the resulting graph beginning with the highest scoring node and extending outward bi-directionally, choosing the best linkage to an adjacent k-mer until either a tip was reached or the best-supported edge led to an already-visited node.
For the analysis, we assume that the NMR interaction graph G = M(G*, w) is generated from the correct contact graph G* = (V*, E*) which is a Hamiltonian path of length n (= number of amino acids).
Random graphs were generated from the experimentally obtained graphs by a constrained shuffle of the vertices keeping both the number of vertices and the degree of distribution.
The estimator allows one to obtain accurate estimates of program execution times for any characterized target processor, by first appending to each statement in the C code generated from the control/data flow graph instructions that accumulate clock cycles, then compiling and execute the software on the host workstation.
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