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Bootstrap aggregation was carried out using R-programs developed by ourselves.
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The aggregation was carried out with 3 × 10 platelets/µL, using ADP (0 50 µM).
Such studies of RIα aggregation were carried out here.
Bagging (also known as bootstrap aggregation) is an ensemble learner that attempts to improve the stability of the classifiers and reduce variance.
Bootstrap aggregation is further used to reduce the variance of the annotation optimization estimates (Breiman, 1996; Hastie et al., 2009).
The bootstrap procedure was carried out 100 times.
Bootstrap resampling was carried out to demonstrate robustness of groupings.
A bootstrap analysis was carried out and the robustness of each cluster was verified in 1000 replicates.
Non-parametric bootstrap analysis was carried out to calculate the relative support for individual clades found in the parsimony analysis.
Bootstrap analysis was carried out using SEQBOOT to generate 100 random combinations of the alignments in Phylip.
Multiparametric bootstrap analysis was carried out using 1000 bootstrap replicates.
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