Sentence examples for multivariate data matrix from inspiring English sources

Mean centering the multivariate data matrix is considered to be integrated in EVD.

Thus, our analysis focused on the development of an easy-using algorithm to extend the application of the Shapiro–Francia test to multivariate data matrix in plant studies.

Centroided and integrated mass spectrometry data from the UPLC-TOFMS were processed to generate a multivariate data matrix using MarkerLynx® (Water) that was used for analysis by SIMCA-P+11 software (Umetrics), and classified with Random Forest.

A multivariate data matrix containing information on sample identity, ion identity (retention time and m/z), and ion abundance was generated through centroiding, deisotoping, filtering, peak recognition and integration.

We formulated a multivariate data matrix with n (rows) as the sample of enhancers and p (columns) the number of TFs for training and control data sets (for control data set see Additional file 6: Table S5).

For the multivariate analysis, the data matrix was standardized by subtracting the mean and then dividing it by the standard deviation.

Although we acknowledge that this estimate possibly differs from a multivariate estimate for the data matrix as a whole, it is as yet not possible to estimate such parameters for multivariate data sets.

To compare the sensitivity of multivariate analysis on the overall data matrix and integrative single score indices, the ecological status according to the WFD and overall Shannon diversity (Shannon 1948) were calculated.

After that, a matrix for multivariate data analysis was generated by the software with a mass clustering window of 0.005 Da and the retention time clustering window of 0.2 min. The matrix covered the information of the retention time, m/z and the ion intensity for each picked peak.

These employ standard multivariate data analysis methods on the design matrix.

When time delays are not known a-priori, the similarity between GOBF and Pade approximation is used to estimates time delay matrix directly from multivariate data.