Sentence examples for approach with multivariate from inspiring English sources

Hence, the current study shows the importance of conjugating multivariate nonparametric approach with multivariate parametric and copula-based approaches, thereby results in a comprehensive framework for complete at-site FFA.

We paired a sliding window approach with multivariate linear regression to characterize Alzheimer's disease-associated differentially methylated regions (DMRs).

Because of the exploratory nature of this question, we used a data-driven approach with multivariate non-rotated spatiotemporal Partial Least Squares (PLS, McIntosh & Lobaugh, 2004).

We propose that a systems-biology approach coupled with multivariate data analysis is best suited to unraveling the mechanisms responsible for plant desiccation tolerance, as well as their integration with one another.

First, an ultra-high performance liquid chromatography quadrupole/time-of-flight mass spectrometry-based metabolomics approach coupled with multivariate statistical analysis was developed to compare the holistic quality of boiled and un-boiled WPR samples.

We used a novel approach with a multivariate technique to analyze brain resting state [18 F]FDG-PET in patients with lymphoma, to explore differences on cerebral metabolic glucose rate between chemotherapy-treated and non-treated patients.

In Supplementary Figure S2, we show results for the substitution approach with other multivariate methods for different choices of.

In Supplementary Figure S1, we show the results for the substitution approach with other multivariate methods for different choices of.

In each study site, edaphic and geographic variables were determined, and the bacterial structures were evaluated at the genetic and metabolic levels through fingerprint approaches along with multivariate analytical methods including redundancy (RDA) and variance partitioning (VPA) analyses.

In the near future, we might see that metabolomics, and its integration with transcriptomics and/or proteomics into a systems biology approach, in combination with multivariate data analysis tools, will become of increasing importance for the unbiased selection and ranking of targets, not only for strain improvement but also for bioprocess improvement.

In order to consider the effect of combinations of genes in the prediction of the histo-pathological variables we have used a statistical modeling approach in combination with multivariate variable selection procedures.