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Despite the fact that many AD measures have been explored, a larger benchmark study comparing these measures is still missing.
Second, we consider a larger benchmark dataset based on SCOP.
Lower values were obtained with the logarithmic curve, and higher results with a larger benchmark response.
In a larger benchmark, we find that the quality is improved with 15 30% when using PconsC in comparison with earlier contact prediction methods.
A larger benchmark MSA comprising 38 772 sequences could be reproduced with 98.9 and 99.3% accuracy using reference MSAs comprising 1000 and 5000 sequences.
Compared with GPS-PUP, our predictor has the following features: (1) a larger benchmark dataset was used; (2) our study showed how much important the roles these features played in the prediction.
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Using a large benchmark the effectiveness of the new formulation is demonstrated.
Such calculation should be derived from the comparison of existing methods in a large benchmark set of sequences, as it was the case in this study.
A large benchmark of process scenarios has been investigated and the obtained results show that the selection of the best strategy is not a straightforward task due to the influence of several process operating parameters.
Two sets of benchmarks are described below: a large benchmark on yeast data, using 40 transcription factors, and a smaller one on fruitfly data, using the hunchback transcription factor.
Wang et al. [30] introduced a large benchmark dataset of previously unpublished peptides and used it to assess the performance of nine publicly available MHC-II binding peptide prediction methods.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com