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Figure 2 displays the minimum path optimization curve for 3M clustering of the Gasch yeast stress conditions.
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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.
By means of Boolean algebra simplification, the minimum path sets of the system are achieved.
Transition path optimization yields a relatively rough path even with 185 beads.
x3: Minimum path length (minimum number of edges/links from one of the nine external inputs).
This tone-curve optimization problem can be seen as a "path" optimization on the two-dimensional x- z plane as shown in Figure 2c.
Details of model setup, transition path optimization, and PMF calculations along with protocols and results of analysis.
At small minimum path lengths, the performance is relatively poor and the predictive variance is large.
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.
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