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Random forests use a bootstrapping approach, where a random set of predictor variables is tested at each split of a tree. The final regression model results from averaging all outputs of the decision tree ensemble. Random forests are relatively robust against overfitting and multi-collinearity, ...
The shaded area represents a 95% confidence interval, estimated based on 1,000 bootstraps. (c) The fraction of genes with a recent transfer event (that is involving gene pairs with ≥98% nucleotide identity) detected compared across species’ preferred environments, with *** indicating a ...
Bootstrap support values are from maximum-parsimony analyses of 1,000 bootstrap replicates and 100 random addition replicates. Posterior probability for clade support was estimated with Markov chain Monte Carlo as implemented in MrBayes. Four Markov chains were run for 105 to 106 generations after ...
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Bootstrap values are shown. The ISME Journal Horizontal gene transfer between obligate leaf nodule symbionts M Pinto-Carbó et al 2100 genome comparison of the bacterial leaf nodule advantage alone does not explain the strict depen- symbionts with 19 closely related Burkholderia dence of the host ...
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Labels are shown for branches in the maximum likelihood tree that are supported by ≥ 90% of bootstrap replicates. The scale bar for branch lengths is in substitutions per site, and the tree is midpoint rooted. Tsu4 sequences from hybrid strains (S. pastorianus and Saccharomyces sp. M14)...
an important aspect is the reconciliation of gene and species trees. Multiple reconciliations may exist that may be optimal (i.e. most parsimonious). Therefore, it is important to traverse through the entire solution search space and to produce quantitative indicators (similar to bootstrap support ...