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The outer bootstrap was done 100 times.
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For the assessment of the three-way interaction, an outer bootstrap loop was created to account for the screening of two-way interactions in which the above mentioned bootstrap procedure was repeated in resampled data.
The large number of taxa and relatively small number of informative characters resulted in low bootstrap support values for internal nodes; by contrast, the outer nodes received higher bootstrap support (data not shown).
While the outer nodes had weak bootstrap values, there was significant support for the inner nodes for all the clusters.
Because of the large number of taxa and relatively small number of characters in full-length sequences, the bootstrap values of internal nodes were low, whereas the outer nodes had more credible bootstrap values, allowing for clustering of the CCCH genes of Arabidopsis and rice into 20 subfamilies (see Additional file 9B).
The second method in the outer loop is a bootstrap-based method, also known as a smoothed version of cross-validation [ 20].
While bootstrap values for internal nodes are low, the outer nodes allow the clustering of the PP2C genes of Arabidopsis and rice into 13 subfamilies with higher support values (> 98%).
The range between the outer and inner circles indicates that the values within the 95%% confidence range have been estimated by the bootstrap test described below.
Similar rows developed in the outer boroughs.
The screwdriver was at the outer edge.
Technical knowledge stops at the outer edge.
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