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If these three best PhModels were selected, there are nine prediction results and then there are 2 − 1 = 511 combinations.
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Then these best PhModels were used to predict the biological activities of testing set inhibitors by using HypoGen Best, Fast, and Caesar algorithms.
The best isolates were selected for identification.
For each template, the 100 best hits were selected.
The best measurements were selected and recorded for statistical analysis.
Among these features, the seven best features were selected.
Only those primers exhibiting the best stability were selected.
Fifty homology models were built and the best were selected.
Finally, a set of best matched parameters were selected.
Pathways with the best discriminating features were selected.
Up to five best-performing transitions were selected per precursor.
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