This performance similarity for ligands can be attributed to the much simpler topologies in comparison to their binding pockets and the very small size of the benchmarking set, which renders it an easier classification task for a shape-only signature.
For the processing speed benchmark, we used varying sized subsamples of the benchmark test data, that is, 1/1 sample (23 million patients), 1/2 sample (11.5 million patients), 1/4 sample (5.7 million patients), and 1/8 sample (2.6 million patients), and ran the same script 20 times with each subsample to measure the processing time using one master node and 4 slave nodes.
While Netvibes (which launched their own redesign a few days ago) has publicized their $15 million venture round as well as user growth (first 1 million and then more recently, 5 million), Pageflakes has not released user numbers or the size of their BenchMark financing.
He put the minimum size of a benchmark offering at about 3 billion euros, but said he was hoping to raise "as much as 5 billion euros" this month.
The size of benchmark scoring intervals and parameter weightings were the two factors that most influenced the degree of bias.
The behavior of a processor varies with the increase in the problem size (N) of the HPL benchmark, based on that the behavior can fall into one of three different zones: Rising zone The low problem size wont invoke memory and processor to their maximum performance.
An example of this can be found in online supplementary file 5. Results of each non-benchmark paper were summarised (along with effect size if provided) and compared with the results of the benchmark paper.
Scaleability of the benchmark allows testing systems of different sizes, and simplicity means that the benchmark has to be understandable and thereby credible.
It delivers roughly 7000 jobs a month, with an average size close to that of the benchmarks used here (maximum number of sequences 50).
For an intracluster correlation coefficient of 0.05 (20 patients per physician), the cluster randomization power analysis indicated that a sample size of 3,000 in the benchmarking group and 1,000 in the control group would achieve 93% power to detect a difference of 74% between the groups (P = 0.05) with an unpooled, two-sided z test.
