Sentence examples for multivariate patterns are from inspiring English sources

Similarities between (first-stage) multivariate patterns are assessed by rank-based matrix correlations, preserving the fully non-parametric approach common in marine community studies.

Overall, the extent to which multivariate patterns are consistent among groups at different organizational levels varies.

For each source, the magnitude and stability of its contribution to the overall multivariate pattern was assessed by taking the ratio of the source salience and its bootstrap-estimated standard error.

When corresponding analyses including all children were performed for FOXP3+CD25+ cells within the CD4+ T cell population, similar multivariate association patterns were found as shown in Fig. 5 (data not shown).

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.

A multivariate analysis revealed that the antioxidant patterns are tissue dependent, indicating nano-specific effects possibly associated to oxidative stress and changes in redox homeostasis.

Multivariate pattern analyses were carried out using functional volumes that had been realigned and slice timing corrected but had not been spatially normalized to the MNI template (Fig. 2).

Multivariate pattern recognition was then used to assess how much position and environment information was encoded in these local pattern vectors.

Classification of multivariate, multi-class, temporal patterns is an important yet challenging problem that arises during state identification in agile processes.

Multivariate pattern analysis is often assumed to rely on signals that directly reflect differences in the distribution of particular neural populations.

The combination of attenuated total reflectance fourier transform mid-infrared spectrometry (ATR FTMIR) and multivariate pattern recognition is presented as a fast and convenient methodology to ascertain the source product an oil slick comes from and to evaluate the extent of its weathering.