Sentence examples for alignment estimation from inspiring English sources

Therefore, DCM-boosting may not be beneficial when used with methods like ML on datasets that are already aligned, or for which alignment estimation is fairly easy.

The order of the sequences in the alignment is a reflection of their relatedness with the most similar sequences typically being aligned next to each other and the more divergent sequences overall tend to be aligned last during the alignment estimation and these are located towards the bottom of the alignment [ 37] (additional file 1, Table S1).

Results of a GN&C performance assessment reveal how data from relative position sensors can be employed in a Kalman filter framework to significantly improve alignment estimation performance.

Since this approach is generally considered to be conceptually superior to the generally used two phase methods, which separate alignment estimation and tree topology inference [15], [16], we considered the alignments and topologies derived from these searches to be the "true" tree.

This increase in resolution is sensitive to the alignment estimation method.

To address this problem, nonlinear alignment estimation was performed using FSL's nonlinear registration algorithm [FNIRT, Andersson et al., 2007].

Two approaches for coarse transformation, pre-alignment estimation, or initialization exist: local and global.

DACTAL's modular approach also allows us to replace each step (alignment, tree estimation, supertree estimation and even the dataset decomposition) with new approaches.

Joint estimation of alignment and phylogeny sidesteps bias that results from conditioning on a single alignment estimate [ 21, 18], bias which may be exaggerated when indel information is inappropriately used.

In comparison with estimating heterogeneity from the original alignment, heterogeneity estimation is improved by an average of 11.26 percentage points across the 2520 SVs in the simulated data set after SHEAR's targeted local realignment.> -wrap-foot> entryentreportsrthethe average absolute error for estimation of heterogeneity percentage for a variety of SVs at different overall coverage levels.

However, we still used manually annotated eye coordinates for alignment and estimation of facial fiducial points for local feature extraction.