Then, in "Performance evaluation", the performance of the proposed ANN-based method is assessed through the simulation experiments from a given multivariate-attribute process in comparison with the modified MLE estimator.
Then, a comprehensive statistically based method is employed to assess the effects of some factors on the mechanical entrapment performance of PPGs in washouts and induced channels.
A universal generating function based method is then implemented for assessing instantaneous and expected system connectivity for a specific CE allocation.
We find that 1) the co-expression based methods are only moderately correlated with the corresponding tissue based methods, 2) the reliability of co-expression based methods is affected by the size of the reference ortholog set, and 3) the corresponding tissue based methods may lose some information for assessing conservation of gene expression.
The performance of each method was assessed based on electrical resistivity (ER) and compressive strength measurements.
The performance of each method was assessed based on the accuracy and the Mean Square Error of Prediction (MSEP) of MEBV.
The effectiveness of the method was assessed based on (1) the genotype imputation error rates and the correlation between true and predicted genotypes, and (2) a utilitarian measure given by the accuracy of GEBV derived with the imputed genotypes.
The proposed method was assessed in numerical simulations based on multibody dynamics.
I identified no previous review of studies on completeness of tuberculosis notification, although evidence based methods are now standard tools to assess the effectiveness of health care interventions, including public health surveillance systems [ 32, 33],.
In that study the agreement between three different types of gene expression based intrinsic subtyping methods was assessed.
Predictions based on different docking methods were assessed using a standard set of statistical indicators to evaluate different ligand and docking classification approaches: sensitivity, specificity, overall prediction accuracy, and Matthews correlation coefficient (Kortagere et al. 2009).
