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To test the relative contribution and interaction of significant covariates from univariate analysis, multivariate analysis was performed using a general linear model.
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The central composite design (CCD) has also been employed for statistical modeling and analysis of the effects and interactions of significant variables dealing with the Cr VI) uptake process by the developed sorbent.
First-order interactions of significant covariates were tested.
Table 5 shows the number of interactions of Significant DNA methylated genes across the three stages.
All biologically relevant two-way interactions of significant fixed effects were tested.
In each stage, the interactions of Significant DNA methylated genes were analyzed with respect to Significant expressed genes.
Furthermore, first-order interactions of significant variables were tested (hospital with period of diagnosis, age at diagnosis and tumour size).
To estimate the interactions of significant QTL and their total phenotypic variation, multiple interval mapping (MIM) in Windows QTL Cartographer 2.5 was performed with Bayesian Information Criteria (BIC-M0) as criteria of MIM model [ 67].
To compare and elucidate the interaction network of Significant DNA methylated genes across stages is a hard problem.
Thus, protein protein interactions involving gankyrin, or the inhibition of these interactions, are of significant therapeutic interest.
Special focus is given to current research on microbe/host interactions, infection of significant importance to public health, and chronic infectious disease.
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