Sentence examples for and express the data from inspiring English sources

Proper Orthogonal Decomposition (POD) is a powerful tool for analyzing data since it let identify patterns in data, and express the data in such a way as to highlight their similarities and differences [20].

PCA is a multivariate statistical technique mostly used for data reduction (i.e., larger number of variables into smaller numbers of components) and express the data as a set of new orthogonal variables called principal components (PCs) (Abdi and Williams, 2010; Abson et al., 2012; Schürer and Penkova, 2015).

Principal Component Analysis (PCA), a powerful multivariate exploratory tool is used to identify patterns in specifically high (P) dimension, interrelated data sets and express the data sets by highlighting their similarities and differences.

Principal component analysis (PCA) is a way of identifying patterns in data, and expressing the data in such a way as to highlight their similarities and differences.

Smith (2002) comments that PCA is a way of identifying patterns in data and expressing the data in such a way as to highlight their similarities and differences.

Significant changes in moisture content occur in the snus production process, and expressing the data on a dry-weight basis to allow for these changes showed more significant increases from 182 ng/g to 1202 ng/g DWB.

Previous studies have reported data only for one step of the turn and expressed the data in terms of a global reference frame making it difficult to understand how the forces act on the body to cause a change in heading and orientation during a turn.

Neocortical and hippocampal FL-αsyn and CC-αsyn immunoreactive neuropil was assessed in digital images analyzed with the Image Quant software by selecting and area to exclude cell bodies, setting the threshold levels and expressing the data as pixel intensity (arbitary units).

We analysed each sample in triplicate in three independent experiments and expressed the data as the mean value ±s.d.d

Principal component analysis is a means of identifying patterns in complex multivariate data sets and expressing the data to identify similarities and differences.

Mac-2 and CD3 staining were quantified by manually counting nuclei in areas of immunoreactivity and expressing the data as number of cells per square millimeter of lesion.