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The minimum path principle ultimately reveals the structural causes and corresponding mechanistic picture, linking them to the observed action and providing the described biological effect.
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Nevertheless, such contrasted correlations were further incorporated into the advanced statistical minimum paths principle, which selects the minimum hierarchy from Euclidean distances between all considered QSAR models for all combinations and considered molecular sets (i.e., school and validation).
If uniform criteria are implemented, one may specialize this principle by the minimum (statistical) path principle.
"People shouldn't assume that following the minimum path through the regulations, or in other words, the cheapest path, is the right solution," he said.
A minimum path pmin is a shortest path meaning there are no shorter p′ paths between x and y.
Minimum path decompositions are not unique and hence a single given path may result in multiple sets of intermediate destinations.
x3: Minimum path length (minimum number of edges/links from one of the nine external inputs).
Optimum performance is reached with a minimum path setting of four genes.
We now set the minimum path parameter to nine genes and analyze the clustering results.
Clearly, lengthening the minimum path length yields a pronounced improvement in 3M clustering results.
At small minimum path lengths, the performance is relatively poor and the predictive variance is large.
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