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For this, a combination of laser Doppler vibrometry for measurement and signal processing by aid of fast Fourier transformation analysis was used.
Fast Fourier transformation analysis was performed for single blocks to obtain a quantitative description of the main oscillatory frequency component.
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Pearson's correlation, logistic regression and ridit transformation analysis were used to analyse the data.
The wavelet transformation analysis is particularly suitable for visualizing chromosomal patterns at all scales, from coarse to fine.
A general land use spatial pattern analysis, based on landscape metrics and a transformation matrix analysis, was conducted.
Before modeling, wavelet coherence transformation (WCT) analysis was conducted to analyze the relationship between variables in the time-frequency domain.
If, the error variances were found to be heterogeneous, then the data were transformed by dividing each observation by its corresponding mean square error (Aitken's transformation) and combined analysis was performed on the transformed data.
A Fourier Transformation Infrared Spectroscopy analysis was applied to define a progress of carbonation in Self-Compacting Concrete.
The data was normalized by Log10 transformation and regression analysis was used to determine a qPCR-derived titer (Qpfu/ml).
Because a significant interaction (P < 0.05) was noted between treatment group and incident diabetes when ACR was divided into quartiles (but not when it was examined as a continuous variable after base 2 logarithm transformation), the former analysis was stratified by treatment arm.
CEF and CNR cells were infected with transforming, non-transforming, and temperature sensitive mutants of RSV to identify the patterns of gene expression in response to v-Src-transformation. Microarray analysis was used to measure changes in gene expression and to define a common set of v-Src regulated genes (CSR genes) in CEF and CNR cells.
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