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The computation of relationship scores (as described in the methods section) was performed on the whole Mycobacterium tuberculosis strain CDC1551 proteome to produce functional links between proteins from homology data, including pair-wise links from sequence similarity and protein family data derived from the InterPro database.
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The proposed method is based on a refined numerical procedure that combines advanced modelling of the steel rebar and computation of relationships between observed/monitored crack patterns and uncertainties affecting relevant structural parameters.
The results obtained show that including SNP information in the computation of the relationship matrix between individuals can increase the precision of the genetic parameter estimates up to twice the precision obtained by using pedigree information only [ 51].
As the steady-state power network equations are expressed in rectangular coordinates, the linearity of the Jacobian and the invariance of the Hessian allow the computation of sensitivity relationships with extra second-order information.
The model is applied to: (1) the prediction of liquid migration in bi-materials assemblies, (2) the computation of the relationships between spatial distributions of u, nc, and particle size in gradient materials, and (3) the analysis of the distribution of u resulting from liquid migration induced by gravity.
In the computation of the genomic relationship matrix G*, attributing a weight (w) for pedigree-based relationships is equivalent to fitting residual polygenic effects that are not captured by the markers [ 21].
The use of genomic relationship matrices in place of pedigree relationship matrices avoids the assumption of neutrality of loci both in the estimation of inbreeding coefficients and for the mean value of gametes inherited by progeny both of which are assumed for the computation of the numerator relationship matrix [ 36].
The division of ZZ T by 2Σipi (1 − pi) scales G to be analogous to the A matrix, which enables computation of the genomic relationships (VanRaden 2008).
A linear spline was computed for age with knots at the 25th and 75th percentiles to permit the computation of piecewise linear relationships between outcomes (i.e., log odds of finishing and finish time) and age, and thereby to accommodate differing effects of age during youth, middle and advanced age (Gould 1993).
For a more accurate computation of the mass-radius relationship and limiting mass of a white dwarf, one must compute the equation of state which describes the relationship between density and pressure in the white dwarf material.
Thereafter, the computation of the torque-velocity relationship during a single all-out sprint according to this method was used to study the effect of fatigue induced by short exhausting or long-lasting exercises [ 121– 121].
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