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In this study, we used wavelet transformation analysis for significance test of the predicted loci.
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Fast Fourier transformation analysis was performed for single blocks to obtain a quantitative description of the main oscillatory frequency component.
The wavelet transformation analysis is particularly suitable for visualizing chromosomal patterns at all scales, from coarse to fine.
ELISA measurements of protein concentrations were normalised by logarithmic transformation for analysis by analysis of variance (ANOVA) and survival analysis and the geometric means presented.
This paper presents an integrated approach for rapid reconfigurable fixture deployment which is based on (1) the procrustes analysis Integrated with a pairwise optimization for fixture workspace configurations synthesis; and (2) screen space transformation-based visibility analysis for rapid fixture calibration.
These values were normally distributed and did not require further transformation for analysis.
The main objective of this paper is the comparison of different processing algorithms that have been developed based on either wavelet transformation or principal component analysis for compressing the Raman spectral vectors and a rapid data classification based on different neural network architectures.
And also if the data were asymmetrical (i.e., not normally distributed by default), the data need to apply the log transformation and trend removal analysis for each irrigation water quality variables for normal distribution.
To limit this problem, strategies of data transformation using principal component analysis (for numerical variables) and/or multiple correspondence analyses (for categorical variables) have been proposed [ 26, 43].
In the future, we will make a detailed analysis for the transformation from an administrative contradiction to some operating contradictions.
In this study, we do not make a detailed analysis for the transformation from an administrative contradiction to some operating contradictions.
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