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For the proposed method, its performance also degrades.
In order to be an empirical method, its performance depends on the environment in which the MU is going to be located.
These results suggest that the co-expression based methods are only moderately correlated with the corresponding tissue based methods, and although Essien et al.'s method appears to best agree with Liao and Zhang's method, its performance is affected by the size of the reference ortholog set (i.e., number of the nodes in CCNs).
To demonstrate advantages of the proposed method, its performance was compared with that of the random walk method [ 13], which utilized a node's global neighborhood in a network to rank genes.
Although subsequent work has improved upon the SGPP method through different variants of the method, we believe if similar variations were to be applied to the GCPV method, its performance would improve similarly.
Although LD information is not directly used in the Single_Step method, its performance was influenced by the level of LD since the simulated populations with a higher level of LD presented distributions of allele frequencies with greater densities at more extreme allele frequencies (see Additional file 2: Figure S2).
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Although the affine-constraint method performs better than other methods, its performance is not satisfactory for training purposes.
However, the HMM approach requires significant training to perform well [19] and, like all model-based methods, its performance depends on how well the chosen model parameters represent the human action.
Inspecting the performance of local modeling without training set expansion, it is observed that although local modeling usually outperformed the other previous methods, its performance with the integration kernel was unsatisfactory.
In addition, because the chirp rate is estimated directly in the proposed method, its estimation performance will not be affected by the NZ index estimation result.
Here we have presented the statistical analysis of sumoylated sites, details of this new method, its overall performance, and in depth benchmark experiments with 3 previously published methods and a simple consensus motif regular expressions scanner.
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mode its performance
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method its results
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