Sentence examples for multivariate response to from inspiring English sources

PERMANOVA is a routine for testing the multivariate response to one or more factors on the basis of any resemblance measure.

Mark Blows (University of Queensland) focused on the complex distribution of genetic variance, because characteristics of pleiotropy will have large effects on multivariate response to selection.

The integral (multivariate) response to Cu exposure (defined as the response of all biochemical measurements at the same time) was explored by multivariate analysis using principal component analysis (PCA) and linear discriminant analysis (LDA).

A new method of processing multivariate response data to extract chemical information has been developed.

In addition to the work presented here, clustering with an unsupervised RF proximity has been described in Shi and Horvath [ 44], and an example using multivariate response Random Forests to examine transcriptional programs in yeast can be found in Xiao and Segal [ 45].

In this multivariate analysis, response to decitabine was associated with known prognostic factors, such as age, ECOG PS, and cytogenetics.

Thus, the LDA output allowed assessing a) whether sex and Cp levels (low-Cp and high-Cp) differences are associated with responses to copper; and b) the integral (multivariate) response of individuals to Cu exposure.

In the current experiments, the dependent AEP (or HGB power) measurement was treated as a multivariate response and assumed to be sampled from a multivariate distribution [34].

Finally, the orthogonal LS PLS method is extended to multivariate responses and used to identify the source of the observed block effect and to build models that can be used for statistical process control at several points in the process.

A multivariate response model was constructed to answer our research questions.

Sites 12 and 15 represent different research centers within one company, as do sites 3 and 5. HL was computed using the first ten principal components as a multivariate response, and then standardized to be between 0 and 1 by dividing by HL statistic for the maximal model consisting of all distinct factor combinations.