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This was performed by generating a parametric survival time model based on the Gompertz equation using the DMSO-treated control population as input data.
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Projection dimorphism was relatively weak in aIP-e, so we confirmed this result by generating a t statistic parametric map of density differences in the lateral horn (data not shown).
The suitability of using a CJS model was tested by generating a fully parameterised CJS model (in which both survival and relocation probability varied between years) for each tree species and then performing a parametric bootstrap [ 48] within MARK [ 49].
The network component can generate a parametric surface within the immobilization region (Fig. 7(c)).
Linear contrasts between regressors, representing the different experimental conditions, were used to determine activated brain areas by generating statistical parametric maps of the t-statistic [SPM t)].
Whenever a process includes a sequence of dependent observations, HMM classifiers can be used to model input sequences as generated by a parametric random process.
First, the 3D microstructures of porous electrodes are generated by a parametric stochastic model, in order to significantly reduce the necessity of tomographic imaging.
Initial reference models were generated by applying a parametric model of the microtubule (Chrétien and Wade, 1991) to PDB models of the no-nucleotide kinesin-microtubule complex (Sindelar and Downing, 2007), converting the atomic coordinates to EM density using the SPIDER package (Frank et al., 1996), and applying a low-pass filter with a 20 Å cutoff frequency.
The acceptance curve can be generated using a parametric or nonparametric method.
ENMTools calculated the significance of these statistics using a non-parametric approach by generating null-value distributions of D, I, and RR, which were calculated from 100 pairs of pseudoreplicated datasets that combine occurrence points from both taxa under evaluation.
Parametric bootstrapping was implemented by generating 1000 samples for each experiment and each gene from a Gaussian distribution with the estimated DE as the mean and as the variance.
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