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The detection rate is used to measure the performance of the computational method, which is the ratio of positive samples in listed rank of screened ingredients.
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Numerical and phantom experiments are performed to validate the performance of the proposed computational method.
The performance of the hybrid computational method is validated by comparing with other solvers on the test system.
We use the standard way for performance evaluation by separately comparing the results of the computational methods investigated in this study to the ground truth in terms of sensitivity and specificity (more details of performance evaluation are provided in Supplementary Methods).
Applications to multiple-sequence alignment, data mining, and benchmark functions have been performed so as to put forward the performance of developed computational method.
Recent efforts on characterizing the effects of amino acid mutations on HA-receptor binding specificity have provided experimental data with which we can assess the performance of our computational method.
We chose this because it is a convenient set of high quality data for which we have a benchmark of the performance of other computational methods.
Thus, the performance of various computational methods for epistatic interaction detection in case of small samples is important.
The articles in the special issue discuss the implementation and performance of parallel computational methods for high fidelity flow models in industrial-scale programs.
These sequences span 1%% of the human genome sequence and the corresponding annotation [16] has been used as the "golden standard" to assess the performance of computational methods developed for the identification of functional elements.
The CAFA experiment was designed to enable the community to periodically reassess the performance of computational methods as experimental evidence accumulates.
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