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The right ventricular (RV) wall thickness and dimensions should be analyzed using all multiple views, the apical view being the most suitable for this analysis.
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Furthermore, the performance of all algorithms is analyzed using all dimensions and different categories of functions.
Furthermore, the performance of all algorithms is analyzed using all function evaluations (Fes) and different categories of functions.
Safety variables were analyzed using all randomized patients (i.e., intention-to-treat population).
To reduce computational time, the largest linkage groups (1 8) were analyzed by excluding markers with identical genotypes, but smaller linkage groups were analyzed using all markers.
The dairy cattle data were analyzed using all six models, while the animal-CLASS and sire IC models were omitted when analyzing simulated data.
Furthermore, a subset of 10000 sequences from the same data set, was analyzed using all 5 binning methods (INDUS, TACOA, SOrt-ITEMS, MEGAN and SPHINX).
Sequence data was analyzed using all genome positions and concatenated nucleotide sequence from 71 exons common to all pine accessions; both partitions were analyzed with and without the loci ycf1 and ycf2.
As a real example, the self-organized nanoparticle film presented in Figure 1d was analyzed using all the mentioned algorithms.
Qualitative data will be analyzed using codification of all comments and information.
Fold difference was analyzed using 2-ΔΔCT.> All results were presented as mean ± SEM.
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