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Curated outcomes and unpublished RET gene variants with known disease association were used to benchmark predictor performance.
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Description of data: A set of 1000 molecules that can be used to benchmark nmr predictors with molecular weight up to 33 heavy atoms.
This phenomenon needs to be taken into account when benchmarking bioinformatic predictors and proteomic studies of protein interactions.
After establishing a benchmark, potentially relevant predictors were identified to populate a pool of candidate independent variables based on a literature review and cognitive theories.
The accuracy of this predictor, benchmarked on the 42 CASP5 targets, reached 78%.
To benchmark these automated predictors, we downloaded their predictions for 95 official targets from the CASP7 web site (predictioncenter.org/casp7).org/casp7
Because solving such problems is of little clinical value, such data matrices are not adequate for the benchmark test of predictors.
Second, we benchmark several disorder predictors which participated in the seventh edition of Critical Assessment of Techniques for Protein Structure Prediction [ 13, 14] on a common dataset.
Unfortunately, no pure pan-specific HLA class II epitope-predictor benchmark is available, but nevertheless, in most HLA class II benchmarks, allele-specific and pan-specific methods perform comparably.
Our results are consistent with the growing evidence that the various organophosphates can differ in their impact on brain development and that consequently, the cholinesterase benchmark is an inadequate predictor of adverse neurodevelopmental effects.
To evaluate the generalization of the predictor, the benchmark dataset S was divided into a training dataset Str and a test dataset Ste, where Ste was constructed by randomly selecting 88 (10%) drugs in S and the rest in S comprised Str.
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