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When the underlying OR = 1, the majority of the other methods also perform very well (figure 3), although the overall performance is significantly reduced once the between-study variance exceeds the within-study variances; i.e. I2 > 50%.
Most landmark-based methods also perform this transformation based on the found landmarks in order to obtain a registered face image [13].
Stochastic search methods also perform well in situations with correlated predictors (r ≈ 0.25-0.80) [ 17– 20].
Both of these studies demonstrated that although sophisticated imputation methods such as "hot-deck imputation" have advantages, that simple single-value imputation methods also perform very well.
Other metagenomic methods also perform taxonomic assignation based on DNA sequences from nuclear as well as mitochondrial genomes by first performing a de novo assembly and then comparing the assembled sequences to a genome-wide genes database [ 110 112].
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We found our methods also performed well on their data set with 10 greater recall at 14.0 precision.
Meanwhile, informative genes selected by other feature-selection methods also performed well on χ-DC.
These methods also performed equally well regarding the stability of the predictors, seen especially in the RF results.
The other methods also performed well; however GSOA identified more gene sets that play a role in cell-cycle regulation.> -wrap-foot> Each method identified pathways related to p53 signaling and cell-cycle regulation.
The method also performs inverse transformation of the constructed signal.
This method also performed well in field environments.
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