Sentence examples for multivariate projection method from inspiring English sources

In critical ill patients of different etiology the multivariate projection Method represents a valuable technique to identify inflammatory patterns as predictor of outcome.

PCA is a multivariate projection method designed to extract systematic variation in data.

The multivariate projection method OPLS-DA used in this study has the advantage of being able to deal with such data and also to separate the variability among the metabolites that is directly related to group separation from variability not related to group separation.

By integrating the concept of gap metric, factorial design and multivariate projection methods, a systematic analysis of control structures, operating conditions and operating regime based control strategies can be established.

Multivariate projection methods were applied to simultaneously analyze biotic and abiotic variables.

As emphasised above, multivariate projection methods were essential statistical tools in this investigation.

Pattern recognition is based on the concept of multivariate projection methods.

Using these multivariate projection methods we detected differences between tumours and normal tissue, radiation treatment-induced changes and temporal effects.

Therefore, using a binning procedure, each spectrum was transformed into 5000 variables, to be analysed by multivariate projection methods such as PCA and PLS-DA.

The data acquired in this study were analysed using the multivariate projection methods principal component analysis (PCA) and partial least squares – discriminant analysis (PLS-DA).

In this issue, several papers utilised numerous multivariate projection methods, bioinformatics, algorithms and computational analyses of microarray data, in order to provide better discrimination of subjects with unexplained chronic fatigue and CFS, from healthy controls [ 4- 7].