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where ρ is the one pixel step correlation value.
As a first step, correlation analysis which reveals the relationship between two variables is calculated for the major ion chemical data from the study area.
In the next step, correlation analysis among the nucleotide compositions, codon compositions, and ENC values was performed (Table 3).
Further analysis of the mean square displacement of translocations and the step correlation was necessary to determine the nature of diffusion and validate or refuse the simple Brownian model independently for each protein.
In a second step, correlation of the expression of each P450 gene with the expression of 4,130 selected and carefully re-annotated genes representative of plant metabolism was examined.
In a first step, correlation networks are constructed for disease states A and B. Second, the DC of each of the genes is calculated as global or local topological change between the networks.
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In a second step, correlations were analyzed using LDH as a continous variable without cutoff.
They depend on the variances of multiplicative noises, the one-step correlation coefficient matrices together with the probabilities of delays and packet losses.
Here, 0<|ρ|<1 is the one-step correlation coefficient of the residual pixels and is typically assumed as an a priori value [8, 20].
Using in situ electrochemical atomic force microscopy complemented with ex situ energy dispersive X-ray spectroscopy, X-ray photoelectron spectroscopy, synchrotron radiation photoelectron spectroscopy and X-ray diffraction provided step-by-step correlation of chemical and morphology changes induced by catalyst's aging processes.
We employed a newly developed two-step correlation approach to identify genes associated with grain yield.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com