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Multiple trees are dynamically built that include all correct nodes, where each tree root corresponds to the node that called a broadcast primitive.
When multiple trees are found with the same maximum parsimony score, the "extended majority consensus" of those trees is returned.
When multiple trees are found outside both confidence sets, pairwise analysis of neighbouring trees needs to be carried out again using the AU test, in order to determine the significance of the transitions that connect them.
Each tree is capable of distinguishing different classes of data, but a single tree does not perform definitively on data that was not in the training set, so multiple trees are used.
In the case of maximum parsimony, multiple optimal trees are usually generated for each replicate (note that multiple trees are possible with ML, although in practice they are not typically recovered).
Topological methods, in which trees are compared directly through statistics such as MAST, are generally used in the fields of phylogeography (e.g., Lapointe and Rissler 2005 ) and the study of coevolution between parasites and hosts (de Vienne et al. 2007 ), whereas CADM (Campbell et al. 2011 ) has also been proposed to test whether multiple trees are more similar than by chance alone.
Similar(54)
In this paper, for different additive components, different sets of contextual factors were used and multiple trees were built simultaneously.
Some people think having multiple trees is a good idea.
Multiple trees were collapsed to a strict consensus tree by the nelsen algorithm.
Pollen mixtures from multiple trees were found to contain multiple Bet v 1 isoforms [ 13].
The duration for which tips have been in NA, as traced across the multiple trees is presented in Figure 1B.
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