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These experiments cost billions of dollars per year.
However, there does not appear to be a need to increase the number of plants analyzed for each line beyond two if it would reduce the number of lines analyzed or make the experiments cost or scope unfeasible.
As the targets number increases, it will face the combinatorial explosion to choose targets and proper doses, and the experiments cost also increases.
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This procedure can result in a consistent reduction of the experiments costs.
They generate a lot of waste in the quest for a certain feel for a game, on a lot of grand experiments costing millions of dollars, and yet the end results are usually quite ordinary.
These experimental data indicate that experiments costing $110 $150 (i.e. 3 4 strains) reliably identified one true target gene, and experiments costing $340 $525 detected two of the three target genes (Fig. 4B).
Nevertheless, according to our fermentor experiments, cost-effective large-scale production of these novel recombinant galactosidases is certainly feasible.
In our experiments, cost-sensitive learning performed about equally well as sampling, but it was difficult to find an optimal cost matrix.
The experiment cost Carle his smartphone, television, refrigerator (all made in China), his spectacles (Italian), his underpants (Moroccan), morning coffee (Guatemalan) and his adored David Bowie music (British).
In design of experiments (DOE), the number of required experiments (and hence the experiment cost) increases as the number of parameters and/or their corresponding levels increase.
The preparation stated above consumes a large amount of manpower and resources, which will greatly enlarge experiment cost and test duration [3].
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