Sentence examples for multivariate combination from inspiring English sources

Approximately balanced trees are created in the form of a full binary tree based on two simple ways of generating multivariate combination weights and a median-based method to select the divide value having ensured the efficiency and effectiveness of the proposed algorithms.

In other words, a multivariate combination of genes may be regulating the normal/tumoral state, i.e., the combination of genes may contain more information about normal/tumoral conditions than an univariate differentially expressed gene.

ICH guidelines recommend using statistical design of experiments to identify the design space, in which multivariate combinations of composition variables and process variables have been demonstrated to provide quality results.

Cox regression models were used in both univariate (single risk factors) and multivariate (combinations of risk factors) analysis.

It is therefore likely that multivariate combinations of preoperative mechanical factors would be more important to surgical outcome than any individual factor alone.

For correlations between single variables, Spearman's rank correlation will be used, whereas canonical correlations will explore relationships among multivariate combinations of variables [ 52].

The principal objective was to assess the univariate prognostic biomarker potential of DNA methylation of 13 individual genes and multivariate combinations of genes, by analysing the association between methylation and death from prostate cancer as the primary endpoint.

Each canonical variate describes the multivariate linear combination of coloration variables that maximize differences between groups while minimizing differences within groups.

To explore the best multivariate biomarker combinations to predict disease aggressiveness, we exhaustively searched all possible models with combinations up to and including five biomarkers.

Selection coefficients can be estimated both for individual traits and for the multivariate trait combinations that have been established here to be affected by pleiotropic mutations.

In a multivariate analysis, its combination with CEA proved the most important independent factor predicting survival.