Sentence examples for bootstrap score of the from inspiring English sources
'Information content' scores for each family were calculated as the sum of highest bootstrap score of the three topologies for each quartet divided by the maximum possible bootstrap score for that family.
In the latter clade, T. denitrificans formed a deep branching outgroup of the Helicobacter and Wolinella species, but a specific association of T. denitrificans to these species was not supported by the bootstrap score of the node (<50%) (Fig. 5A) [ 8, 12].
In these trees, S. ruber appeared as a deep branching outgroup of the Chlorobi clade, but in view of the low bootstrap score of the node indicating this relationship and the long branch that separated them, this relationship was not reliable.
The bootstrap score of the branch k in T (denoted here as bs k ) is the percentage of time that k is found in the set of trees T1, T2,..., and T N. It is computed as follows: (1) where B i is the set of internal branches of the tree T i, given by their non-trivial splits or bipartitions.
Thus, the bootstrap score of the branch k in T can be calculated as follows: (11) where m is the number of internal branches of the original tree T and B t is the set of internal branches of the tree t.
The LS-based bootstrap score of the branch k in T was computed as follows: (6) where m is the number of internal branches of the original tree T and B t is the set of internal branches of the tree t.
When using the bootstrap-based majority rule defined above, we obtain a consensus tree (T bm in Figure 1) that does not include the left-hand internal branch because neither the sum of scores of T1 and T2 nor the bootstrap score of T3 divided by the number of trees is greater than 50%.
The bootstrap scores of the internal branches of T based on secondary bootstrapping, and denoted as ss_bs = { ss_bs k | k = 1, 2,..., m}, can then be calculated.
Such weights could be an average of bootstrap scores of the tree's internal branches, a maximum parsimony or maximum likelihood score or a Bayesian posterior probability estimate.
