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This benchmark set consists of mid-level micro-benchmarks implemented on OpenGL ES 3.1, which are carefully chosen for different workloads.
The benchmark set consists of a collection of 1235 SMARTS substructure expressions and selected molecules from the ZINC database.
This benchmark set consists of 3600 protein pairs drawn from PDB25.
This benchmark set consists of 287 rQTLs, each containing 100 proteins annotated with BP, MF and CC.
This benchmark set consists of 428 gold standard protein complexes, which are from three main sources: (I) MIPS [ 90], (II) Aloy et al. [ 91] and (III) SGD database [ 92] based on Gene Ontology (GO) annotations.
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We also used a second larger benchmark set consisting of 173 877 sites of the human genome.
We have evaluated the approach on several benchmark sets consisting of Rfam seed alignments, E voF am families and known bacterial ncRNA.
In short, since the benchmark sets consist of strongly oscillating genes controlled by a few known transcription factors, it is not surprising that these genes are not enriched amongst weakly oscillating genes controlled in other ways.
Based on the modified benchmark model proposed in [ 24], we generated 100 simulation data sets under each combinatorial parameter setting, where each data set consists of N = 50 samples and each sample contains M = 5,000 probes.
Now, Set consists of, while Set consists of.
The last benchmark data set was a set consisting of clinically approved inhibitors of HIV Protease and a very large set of mutants (1060 full sequences).
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