Sentence examples for multivariate approach identified from inspiring English sources
Unlike conventional analyses, this multivariate approach identified distinct groups of genes that are plausibly linked in physiologic pathways, perhaps epistatically.
To summarise the disease progression in a porcine model of severe Staphylococcus aureus sepsis, we used principal component analysis (PCA) as a multivariate approach to identify early dynamic expression patterns of 34 selected genes in the liver, lung, and spleen tissue.
Therefore, we used a combination of univariate and multivariate approaches to identify proteins associated with recurrence or death.
We analyzed our data with partial least squares [28], [38], [39], a multivariate approach that robustly identifies group-level spatiotemporal activity patterns correlated to neuronal activity (seed-PLS).
As shown before, a classical multivariate approach permits to identify the whole pathway as significantly involved in the pathology.
Univariate analyses will be followed-up by the multivariate approach of partial least squares to identify task-related patterns of functional activation relating to therapeutic outcome.
Then, as some variables may not be significant in univariate analysis but become significant in multivariate analysis, a multivariate approach was used in this study to identify jointly measurable factors that could be used to model risk of PDAC mortality.
Interestingly, these results are in considerable agreement with metabolic effects identified through the OPLS-DA multivariate approach previously discussed (Fig. 2b).
Multivariate approaches are presented to identify temporal patterns in coexpressed gene groups and quantify coupled relationship of two distinct trajectories.
Three sub-environments were qualitatively identified within the Southern Gulf of Mexico and validated using a multivariate approach, which reflect the across-shelf topography and depth gradient.
All the categorical variables associated with TST positivity (P ≤ 0.1) were added to a multivariate logistic regression analysis to identify independent variables associated with TST positivity; furthermore a nested multivariate approach was used to study the possible confounding role of some variables.
