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They are all about knowing a fact from a factoid, reasoning from data to underlying patterns and practical implications, all while feeding careful observation through the strainer of valid logic.
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The framework is further enhanced through combination with data-mining algorithms that process detailed, fine-scale data to uncover underlying im- portant, coarse-grained variables (macroscopic system observables).
Can we use traditional data to detect underlying trends between groups of consumers and improve demand estimation?
Factor analysis aims to reduce the observed data to uncover underlying concepts but defining a true model can be difficult.
We combined these results with gene-expression data to reveal underlying mechanisms of disease evolution to highlight genomic heterogeneity in BC.
Using mathematical principles, a genetic – epidemiological probability function was derived that links binary disease data to the underlying epidemiological traits, host susceptibility and infectiousness.
The first stage of the model contains two likelihood terms representing the probabilistic relationships of the PM2.5 and AOD data to the underlying processes and covariates.
In the future, registration algorithms might improve matching of the 3DcinePC velocity data to the underlying morphological data and further reduction in the potential for this type of error.
Usually, NMR-based GWAS either use a selection of chemical shifts or perform spectral annotation to reduce the NMR data to the underlying metabolite concentrations (for example, [ 6, 7, 17]).
Another limitation comes with the use of explicit emission models, such as Poisson and Binomial distributions, to connect noisy data to the underlying genomic states (see Supplemental Experimental Procedures).
We have also reviewed various big data frameworks with respect to underlying data sources, analytical capability and application areas.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com