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The optimal pool size depends on the current costs and the level of automation available for library production at each sequencing facility.
Across experimental conditions 1a and b, we found that the model robustly fitted the free parameters at optimal pool size of 10 neurons, the usage of the 3 most sensitive neurons (located at a depth of 930 1325 µm), and a prior ratio of 7.6.
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32 The optimal pool sizes required to achieve a balance between cost saving and accuracy are likely to depend on the underlying prevalence of infection.
However, as the convolutional and the maxout pooling steps are done jointly in our maxout CNN network, we repeated the experiment that looked for the optimal pooling size r. Figure 6 compares the performance of the ReLU and the maxout CNN with various pooling sizes.
The optimal memory pool size, the optimal replacement size and the optimal replacement type also contain information about the diversity of the memory pool.
The optimal memory pool size decreases with increasing costs.
We also tested the optimal memory pool size without cost for different infection scenarios.
Therefore, we analyze the optimal memory pool size first in a cost-free scenario and second in a scenario where a bigger memory pool size is associated with a decrease in the reproductive success.
In Figure 4 we show the optimal memory pool size as a function of the relative cost ρ for the standard pathogen environment and two different replacement sizes nrep.
The 3000-clone pool size was optimal as we found more complex pools reduced the number of PCR assays required for STS-content mapping, but they also decreased the reliability of initial tiling-path choices (by increasing the density of positive wells on the plate) which increased the work involved in finding the positive clone in the pool.
In [14], the optimal choices of signature length M and signature pool size N based on the number of tags K have been discussed.
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