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Immobilization as cross-linked enzyme aggregates (CLEAs) has additional advantages compared with alternative methods for immobilization of enzymes.
Aggregating across assigned smart meter profiles on a substation, we matched the substation behaviour accurately, even when compared with alternative methods which require substation monitoring.
In both the simulation studies and the fMRI data applications, we demonstrate that the proposed methods provide more accurate prediction and more reliable estimation of individual functional connectivity as compared with alternative methods.
Moreover, ongoing abortion mortality surveillance by the CDC has confirmed the greater safety of D&E compared with alternative methods.
The proposed computational pipeline was (i) evaluated with synthetic and manually annotated images, (ii) compared with alternative methods and (iii) applied to a dataset of MCF10A, MCF7, MDA-MB-231 and MDA-MB-468 cell lines that are fixed in culture at days 2, 5 and 7 for quantifying morphogenesis.
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The multiobjective ACS algorithm offers distinct advantages to these problems compared with alternative optimization methods, and can be applied to a more diverse problem domain with respect to the type or size of the problems.
HomoloGene was selected because, compared with alternative inference methods, it provides a better functional proxy and higher specificity for the resolution of shared cellular ontogeny, albeit with lower overall coverage [ 33].
As the main virtues of the technique, compared with alternative separation methods, the "soft" character of the separation process (which makes it possible to fractionate fragile macromolecules and particles) and the wide size or molecular mass range that can be handled are mentioned.
The proposed methods are compared with alternatives, including methods based on Taguchi's signal-to-noise ratios.
We applied it to various scenarios (distributions, grouping strategies, sample sizes), and we compared it with alternative methods for ungrouping (17, 18).
Finally, the soft clustering used in SWIFT is useful for comprehending overlapping clusters (Supporting Information, Section H) as compared with alternative hard clustering methods such as k-means 31 or spectral clustering 6. SWIFT is partly similar to flowPeaks 13 in that they both rely on the unimodality criterion.
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