is commonly implemented assuming an IID (across sites in the alignment) and Markov process for DNA substitution, leading to a model that has a continuous-time Markov chain at its core (see Semple and Steel [ 2] for an introduction to the mathematics underlying modern phylogenetic methodology).
A projection of the results to the total number of in-patients in Germany for the years 2003 to 2007 is implemented assuming the representativity of both the patients with a normal LOS and the hospital sample.
For reasons of computational efficiency, this is implemented assuming that the sequence has equal G and C content on a given strand, i.e. Pr G) = Pr(C), and likewise for A and T. The method computes analytical A ma score distributions for a range of GC contents, and uses linear interpolation to estimate the P-value of the A ma score of a sequence, based on its actual GC content.
Traditionally, security is viewed as an independent feature addressed above the physical layer, and all widely used cryptographic protocols are designed and implemented assuming the physical layer has already been established and provides an error-free link.
Nevertheless, we assume the polarization-independent form of Eq. (1) for simplicity, though the light scattering calculations are implemented assuming non-spherical dust shapes.
This was implemented assuming the following dependence of the noise-amplitude σ on the oxygen tension pO2 : (1) where σ0 denotes the fluctuation strength in stem cell states and f is a Hill function approaching 0 and 1 at low and high pO2, respectively.
Multiple Imputation as usually implemented assumes that data are Missing At Random (MAR), meaning that the underlying missing data mechanism, given the observed data, is independent of the unobserved data.
Reverberation limitation is implemented by assuming an associated inhibitory neuron can classify inputs as being intra-layer or inter-layer and gate an output collateral accordingly.
The model was implemented in the computer, assuming a cellular matrix whose capacity is ca. 230, 000 cells (assuming M = 30 in (2), equaling 613 vertices); and large simulation experiments were run, each experiment characterized by the initial conditions and kinetic parameter values.
To test this hypothesis for the SNP dataset, we conducted regression by implementing a generalized linear model assuming a negative binomial distribution of the number of nucleotide changes per gene in five differential expression categories: strong down-regulation, moderate down-regulation, no change, moderate up-regulation, and strong up-regulation.
