Here we decided on an experimental design in which we use a multivariate technique to determine how different stimuli (i.e., sequences) are represented within each condition (trained vs. untrained), and then compare the representational structure (classification accuracy, dimensionality of representation) across the two conditions.
The aim is to develop a device for on-line estimation of production and quality variables using a multivariate statistical technique like partial least squared (PLS).
The method proposed here is related to these, except that we propose a multivariate feature selection method and consider parameter estimation using a multivariate shrinkage technique.
Our measure of compositional bias simultaneously considered all 64 trinucleotides across a given sequence using a multivariate statistical technique (Correspondence Analysis, see Methods).
Differences in FA values of white matter between OCD and healthy controls were examined using a multivariate pattern classification technique known as support vector machine (SVM).
We performed an exploratory analysis using a multivariate statistical learning technique known as support vector machine; this, however, did not yield any significant findings, suggesting that group-level differences do not necessarily allow accurate inferences at the level of the individual disorder.
As such, this study focuses on using a multivariate data analysis techniques, to develop a RMSW load-displacement (backbone) model.
The hierarchical clustering (Eisen et al, 1998) is often used as a multivariate technique to find groups of genes with similar expression profiles across a number of experiments and to group the experimental samples according to the similarities in their overall patterns of gene expression.
Figure2 emphasizes the importance of using a multivariate model (the PC-based technique referenced in the previous section) to utilize information throughout the full spectrum in constructing the classification formula.
13 We used canonical correlation analysis, a multivariate technique, to specifically search for the linear combination ("canonical variate") of the 11 NP tests that related most strongly to a corresponding linear combination of the set of predictors under consideration.
