Sentence examples for analysis to transform from inspiring English sources

To overcome this problem, we used PC analysis to transform the original morphological measurements into six principal component axes (PC1-PC6) thareare not correlated with each other.

We used exploratory factor analysis to transform individual survey questions into a smaller set of factors, and linear regression to understand the effect of key variables of interest on the factor scores.

Synthesis design programs perform retrosynthetic analysis to transform the target structure to a sequence of progressively simpler structures along a retrosynthetic pathway, which ultimately leads to simple starting materials.

The goal of data analysis is to utilize bioinformatics tools in a data analysis 'pipeline' to transform the raw data into results that can ultimately be seen in a user-friendly visualization tool.

Fisherfaces applies linear discriminant analysis (LDA) to transform data into directions with optimal discriminability.

Implementing a MAS architecture can benefit from a specific requirement analysis approaches to transform the requirements into appropriate models that can then be used to derive a MAS.

Eigenfaces [3] applies principal component analysis (PCA) to transform facial data to the linear subspace spanned by coordinates that maximize the total scatter across all classes.

More specifically, we will use the well-known weighted overlap-add (WOLA) method [2, 27], i.e., using an FFT analysis filterbank to transform the (windowed) time-domain signals to the short-time Fourier transform (STFT) domain and an inverse FFT synthesis filterbank.

Two studies [ 9, 13] utilized the principal component analysis (PCA) to transform multiple correlated genomic variables into a smaller number of composite, independent canonical variables that account for a greater proportion of the variance of the evolutionary rate among genes.

In this study we have sought to develop effective meta-analysis strategies to transform the MAQC-II signatures into a robust and reliable set of biomarker for clinical applications.

A procedure based on interval analysis is proposed to transform the original nonlinear model into a qLPV (quasi Linear Parametric-Varying) one in a guaranteed way.