Sentence examples for multivariate data analyses from inspiring English sources

Uni- and multivariate data analyses were applied.

Univariate and multivariate data analyses were performed with the obtained sorption parameters to identify the soil properties controlling Am sorption behaviour and to propose Kd (Am) prediction models.

This study portrays the analytical capability of NMR spectroscopy and multivariate data analyses methods for the metabolic profiling of plant samples.

We also focused on the importance of graphical visualization tools as a clue to understand the most common univariate and multivariate data analyses applied in metabolomics.

The prediction of specific methane oxidation rate of a potential biocover material from FTIR spectra and multivariate data analyses is a target to be focused on in the future.

The results of multivariate data analyses indicated that the anatomical organization of prefrontal cortices is determined by categorical factors, such as the existence of a granular layer IV in some areas, and is also shaped by structural gradients, such as a systematic shift of cellular density from deep to superficial cortical layers progressing from medial and orbital to lateral areas.

Principle components analysis (PCA) was applied to analyse multivariate data; however, most multivariate analyses were uninformative due to the large amount of missing data from the fossil specimens.

Univariate, bivariate, and multivariate exploratory spatial data analyses (ESDA) such as Moran's I, univariate and bivariate local indicator of spatial correlation (LISA), and spatial regressions were used to assess the spatial clustering and risk factors of IMR in the high-focus states.

PCA is a popular technique used to find the major component of multivariate data, in DNA microarray analyses, it is used to find the gene groups that cooperatively change expressions over several experiments (Brunet et al., 2004), where PCA is done in gene space.

In the present study sensory and instrumental analysis of the textural properties of pork longissimus dorsi were performed and analysed using multivariate data analytical methodologies.

While multivariate and frequency-data analyses reveal either full or partial overlapping between C. mapale and Cathorops sp. at the morphological level (Figs. 3, 4; Table 2), the two lineages show complete segregation at the mitochondrial level (Fig. 2).