After comparing a query set to the benchmark database, we pooled all search results, ordering them by nominal E-value.
Countries have been selected mostly based on data availability, but they are assessed to constitute a sufficiently meaningful, reliable and diversified pool of benchmarks.
The parameters for peak alignment, peptide ion match, and frame generation were identified by analyzing a benchmark dataset containing the repetitive runs of a pooled tissue sample.
Our analyses provide two sets of pooled estimates for both ICU readmission and hospital mortality that offer a range of potential benchmarks.
Typically the municipal obligations are pooled and financed in collateralized debt obligation (CDO) vehicles, where the asset default risk is benchmarked as the weighted average rating and term of the contributing municipalities.
Using benchmark dose (BMD) methodology, the results for each tissue were also compared for both the individual laboratory and the pooled data from all laboratories using the same test substance and, where applicable, the same stimulating TP dose.
From this pool, 52 benchmark sets were generated that each contained four randomly chosen types of complexes.
Throughout this section, the benchmark method is to pool all the data in a single set, an impossible endeavour with real data because of the confounding.
Experimental results on benchmark datasets indicate that the performance of pooling strategies is associated with the distribution of feature activations, which can be affected by whitening processing.
Although it would not be possible to pool the data into a single set in a real case because of the nuisance marginal distributions, we use that situation as an unreachable benchmark.
We derive cost expressions for this routed pooling policy as well as for the no pooling and complete pooling policies, which serve as benchmarks.
