Sentence examples for vast multivariate from inspiring English sources

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Traditional ordination methods for visualizing large numbers of microbial communities such as Principal Coordinates Analysis (PCoA) (Gower and Legendre, 1986) are extremely useful for reducing the dimensionality of vast multivariate datasets, but the patterns are often unclear, especially when the results do not map easily onto the sampling structure.

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The frequency of mutational pleiotropy among small sets of randomly associated expression traits is consistent with recent findings that the vast majority of the multivariate genetic variance of quantitative traits is often restricted to a limited number of phenotypic dimensions (Kirkpatrick 2009; Walsh and Blows 2009).

In the multivariate probabilistic sensitivity analyses, galantamine remained dominant in the vast majority of scenarios.

The vast volume of spectral data generated from imaging experiments permits sophisticated multivariate statistical analysis of data and enables the experimentalist to discern tissue regions where spectral signatures from pathological states differ from those of healthy tissue.

In multivariate analyses the association with type of practice decreased for the vast majority of expectation items.

In addition, the use of multivariate statistical analysis has the advantage of extracting additional information from the vast data set [ 31].

Multivariate discriminant analysis demonstrates the ability of the analytic variables to discriminate the vast majority of the melanocytic neoplasms, particularly when two-dimensional variables are included [ 47].

Decision systems applied to vast pools of media inventory or search queries allow humans to triumph over complexity and solve multivariate marketing inputs, in real time.

Multivariate regression analysis for the ISCs combining two immunoglobulins was not performed since the vast majority of non-survivors showing a "0" in the double ISCs showed also a "0" in the triple ISC (overlap with the triple score was 100% for ISC IgGM, of 90% for ISC IgGA and 82% for ISC IgMA).

To obtain as much data as possible, a combination of different univariate and multivariate statistical analysis methods is recommended, in order to ensure that all relevant information is extracted from the vast data set.

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