Exact(4)
This article describes a linear modeling approach for the analysis of single-case designs (SCDs).
A linear modeling approach was used to find DE genes between phenotypic extremes or different WUR genotypes.
In line with the standard heritability calculations for classical breeding experiments with reciprocal crosses, we used a linear modeling approach to approximate the level of heritability in this population that can be statistically ascribed to the nuclear and cytoplasmic genome.
Probes that are differentially expressed in brain regions in tissue set one were determined using the limma package (42) of the Bioconductor project, a linear modeling approach that uses an empirical Bayes method in which the t-statistic standard errors have been moderated across probes.
Similar(56)
Following pre-processing, a linear-modeling approach was used to identify ProbeSets associated with TCDD response in each species.
Instead of using a normalized outcome (such as the ratio of residue/tau), we adjust for the amount of tau using a simple linear modeling approach.
A mixed linear modeling approach, combining fixed and random subject effects, was employed for data analysis.
A multiple-linear regression (MLR) relationship is established between average subsurface ECe and the three EM34 signal data using a forward modeling stepwise linear modeling approach.
We analyzed the hybridization data using a two-stage parametric linear modeling approach (Methods).
Both potentiality and limitation of the linear modeling approach are discussed.
Specifically, the hybrid ANNs Thomas model showed determination coefficients higher than 0.9 and its average mean square errors are lower, up to 86%, than those obtained with the linear modeling approach.
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