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Heritability was estimated using structural equation modelling implemented in the Mx software package.
The pre-processed data were then significance-tested using a linear modelling implemented in the limma package (v2.9.10) of BioConductor.
Although traditional regression analysis (so-called generalised linear modelling) implemented in statistical software packages requires that the data matrix for covariates is full-rank, this is not a requirement for statistical methods for data dimension reduction, such as principal component regression and partial least squares (PLS) regression [17] [22].
In order to investigate the relative influence of the various factors (number of interactions, expression levels, GO-data [ 20]) we used linear and generalized linear regression modelling (implemented in R).
The analysis included two sequential methods to investigate whether covariates could explain part of the variability of the PK parameters: the GAM analysis ('generalised additive modelling', implemented in the software Xpose®), using the Akaike's Information Criterion (Jonsson and Karlsson, 1999; Pan, 2001), and the covariate analysis within NONMEM.
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Differential gene expression was determined using linear modeling implemented in the R/Bioconductor package limma.
The DNN uses an acoustic model implemented in Kaldi [65].
The models implemented in the package are discussed in the next section in detail.
The TA model implemented in VocalTractLab is illustrated in Figure 2.
Instead, it is artificially generated according to accurate traffic models implemented in RAN emulators.
The path loss models implemented in the simulator were adopted from WINNER II [18].
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