Sentence examples for bootstrap iterations of the from inspiring English sources
The robustness of the genetic boundaries was assessed by 100 bootstrap iterations of the pairwise F ST-matrices (Weir and Cockerham, 1984).
Bootstrap iterations to assess the robustness of the generated trees were decided automatically by RAxML.
The significance of the correlation was determined by 1000 bootstrap iterations, counting the number of correlations with an absolute value greater than the absolute value of the original correlation.
The BBFR score R j of the feature j is defined as a sum of r j (i) over all bootstrap runs as follows: (3) R j = ∑ i = 1 L B r j (i ) The maximum possible value of the BBFR score is LB N. Let q k be the number of bootstrap iterations where the observation k is chosen as a test instance (not a member of the bootstrap sample).
Let q k true be the number of bootstrap iterations where the instance j is correctly classified at the test stage.
Maximum likelihood (ML) inferences were performed on each multiple aa alignment using RAxML (Stamatakis 2006) with the substitution model and parameters WAG + G + I. Support for nodes in ML trees were obtained from 100 nonparametric bootstrap iterations, and the root of ML trees was determined by midpoint rooting.
The number of bootstrap iterations consisted of 1000 for ME and MP methods and 100 for ML.
ML runs were performed for 1000 bootstrap iterations under the GTR model of sequence evolution with two parameters for the number of categories defined by a gamma distribution and the CAT approximation.
We used heuristic searches (10 replicates, random addition of taxa, with tree bisection and reconnection branch swapping), followed by 100 bootstrap iterations for robustness of the ML tree.
The error rate of the model is based on the combined error rate of all the bootstrap iterations when the data not included in that iteration is predicted using the tree from the current iteration.
The robustness of each tree component was accessed by 500 non-parametric bootstrap iterations with the phyml program under the WAG+Γ+I model of protein evolution.
