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Our multiple analysis approach is based on eleven different automated alignments, analysed separately under the maximum likelihood criterion.
Our data is combined with the SSU rDNA stored in public databases (available until October 2008) and investigated using the multiple analysis approach as described above.
In our multiple analysis approach, important clades were recovered with much less effort than before, and in many cases, with higher support.
The multiple analysis approach reveals no consistent phylogenetic structure within the macroperforate group, with support for individual nodes being generally low (Fig. 4; see also Additional file 3).
Our multiple analysis approach shows that alignment ambiguities can have a significant impact on branch support obtained by analysis of ITS sequences in Microbotryum, a factor which, as in many molecular phylogenetic analyses, has not been investigated so far.
Since our focus here was to evaluate the multiple analysis approach to infer a phylogenetic structure within planktonic foraminifera and not to place planktonic taxa in an all-foraminiferal phylogeny, we did not include any benthic group.
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Multiple analysis approaches have been used to prioritize the library for drug-like compounds, for both whole cell screening and target-based approaches.
For these reasons, similar to parcellation of brain areas in other species (e.g., Felleman and Van Essen 1991), parcellation of human brain areas will be a product of the convergence of multiple analysis approaches and modalities.
After the Winland multiple regression analysis approach was published, this method was applied to many other areas.
Supplementary analyses adjusted for covariates shown in table 1 using the multiple regression analysis approach.
In addition to the above mentioned findings, we used a multiple regression analysis approach to adjust covariables, in addition to demographics, invasive devices, and laboratory investigations.
More suggestions(15)
multiple imputation approach
multiple outputation approach
multiple analysis strategy
multiple access approach
multiple period approach
multiple regression approach
multiple integration approach
multiple comparison approach
multiple mode approach
multiple perspective approach
multiple barrier approach
multiple behaviour approach
multiple analysis modelling
multiple sampling approach
multiple intelligence approach
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