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Sometimes QSAR results cannot select the most active compounds with a suitable degree of confidence if the underlying experiments do not include a complete sense of experimental design [41, 42, 47].
The main objectives were therefore to set up a complete strategy for creation and automated screening of rCelStrep evolved direct mutants and to apply it to generate and screen a library of 10,000 random mutants to select the most active variants.
Winner-take-all neural networks can be modeled using all-to-all inhibitory connections between the different units; however, conceptually, they simply select the most active unit and inhibit the rest (Houghton and Hartley, 1995).
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In summary, evaluation of disease characteristics can help clinicians to select the most appropriate active therapeutic option, thus allowing basic tailoring of ART treatment to the individual.
Taken together, these results not only point to the importance of both sequence specificity and mismatches between stems in the activity of shRNAs, they also illustrate the power of our library design and mutagenesis approach to select for the most active shRNAs in an agnostic manner.
We address the problem of active learning which aims to select the most representative points.
Active learning algorithms seek to select the most informative cases for training.
More basic research is needed on bioactive forages with regard to mode of action and possible active compounds in order to select the most appropriate forage species/cultivars.
Therefore, it is critical to only select the most informative data points for labeling, which is cast into the framework of active learning.
Select the most likely object.
Select the most attractive opportunities to pursue.
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