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In this section, we begin by briefly describing the resources used for the experiments: the GO, the GOA database that provided both the knowledge base needed for the machine learning and the benchmarks needed for the evaluation, and the BioCreative I test set that was a supplementary benchmark for our evaluations.
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One of the outputs from the monitoring system is a summary of whether the implementation has achieved a limited set of critical benchmarks (see online supplementary appendix 2); benchmarks are intended to flag serious problems in implementation.
Similar improvement in performance is also observed by testing the crowded subtomograms of four additional benchmark complexes (Supplementary Tables S19 S22) (Fig. 4B) used in (Xu et al., 2012).
We used three manually curated lists of cancer-related genes (Supplementary Methods 2.1) as benchmark datasets and calculated the area under the receiver operating characteristic (ROC) curve (AUC).
Each protein domain sequence in our dataset has <40% sequence identity to any other sequences in the training, testing and benchmarking datasets (Supplementary Material 1 and 2).
The ER FRAP simulations 11 have been verified using a simple 1D benchmark case (see Supplementary Material in 11).
We benchmarked Tachyon against key methods with searches of 500 representative human proteins against NR and Figure 1 shows the clearly unique application spectrum arising from the speed versus sensitivity profile (detailed benchmark information in Supplementary Material).
The median time for recruiting the first patient from SSI validation was 127 days (IQR 64.0 230.0) which is significantly more than the 70 day contract benchmark (see online supplementary figure S2).
Our benchmarks on k3 (Supplementary Fig. S1) suggest that this behavior extends to multiple alignment.
See Supplementary Material for details on the benchmark settings and results.
The results of this benchmark are shown in Supplementary Table S2.
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