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Sentences for "bootstrapped "
' " Thus "available" is bootstrapped into "used" and "used" into "used in Laos," while "used in Laos in this particular operation" sneaks through by implication, all buttressed by the empty assertion that "this"--what?
Each bootstrapped sample was analyzed using 10 different starting trees built through random addition, tree-branch-reconnection (TBR) branch swapping, and considering gaps as missing data.
On an average Intel processor the wall clock time for 100 bootstrapped datasets of a typical Pfam multiple alignment is in the range of hours.
Calculate pairwise distances for bootstrapped A" , resulting in the "pwd" file.
thaliana query sequences, no sequence was orthologous in more than five out of 100 bootstrapped trees.
In effect, bootstrapping eliminated the disparity between HRM and RPM in terms of variance, with bootstrapped versions of those estimators having similar low levels of variance.
HRM-BMO (mode of the bootstrapped modes) and RPM-BMO averaged 7.
2% different, and HRM-BME (mean of the bootstrapped modes) and RPM-BME were only 1.
A greater difference was observed between HRM and its bootstrapped estimate (HRM-BME) than between RPM and RPM-BME.
Increased Performance of the Bootstrapped Mode Estimators Bootstrapping clearly improved the variance of the mode estimators.
Suggested conventions for indicating modes that are estimated using these methods are M HRM and M RPM for the non-bootstrapped versions and M HRMB and M RPMB for the bootstrapped versions.
The bootstrapping should be accomplished by taking the mean of the bootstrapped mode estimates and by using a relatively large number of replications, such as 1,000 or more [ 17 ] .
In addition to the non-bootstrapped mode estimate (NBM, using original data) for each method, we calculated a bootstrap estimate using the mean (BME) and the mode (BMO) of bootstrapped modes.
This permitted us to compare biases and variances associated with bootstrapped and non-bootstrapped versions of each method for each data set.
Bootstrap support values versus posterior probabilities To facilitate comparison of Bayesian posterior probabilities with a more widely used confidence measure, we generated 100 bootstrapped samples [ 32 ] from each QuartOP in case
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