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Further a focused data reduction approach was employed to choose a subset of enriched compounds based on "Drug likeness" and "Similarity-based" methods.
In this work, a J-integral-based data reduction approach was used for fracture characterisation of a ductile two-component epoxy adhesive with steel adherends under mixed-mode loading.
This data reduction approach may assist investigators who wish to quantify functional limitations in RA.
MDR is a data reduction approach, designed to detect and characterize high-order interactions in case-control studies.
A limitation of many of these methods is the fact that they use a data reduction approach which makes it difficult to select a minimal set of markers.
The original MDR algorithm was designed as a data reduction approach to identify multi-locus genotype combinations that are associated with high or low risk of disease [ 34].
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Alternative data reduction approaches resulting from this capability of over-determination are shown through numerical simulations to have different performance characteristics under non-ideal experimental conditions.
CDE experienced higher noise levels than expected on-orbit, triggering the need for new laboratory experiments, as well as the development of new data reduction approaches.
To mention just a few, these include algorithms for processing the data more time and space efficiently (Langmead et al., 2009; Li and Durbin, 2009a; Li et al., 2009b) as well as data reduction approaches that aim to retain only the scientifically relevant and non-redundant information from NGS projects rather than everything (Leinonen et al., 2010).
The molecular signature is derived from the complete data set of mRNA, protein, or metabolite signals from a biologic sample using data-reduction approaches.
Content analysis is a qualitative data reduction and sense-making approach in which a volume of qualitative material is evaluated to identify core consistencies and meaning [ 33].
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