In this table we defined AID shared loci as those with two or more diseases overlapping with the locus.
By placing patient dose adjustments in columns and calculated dose adjustments in rows of a contingency table, we defined five indicators for quantifying patient's adherence to the guideline (figure 2).
In Table 2, we define a set of notations for the proposed social network integration techniques.
As displayed in Table 2, we define four different schemes based on setting different propagation rates and repair rates.
As shown in Table 2, we define both the time and resource requirements of the traditional Hough transform as 1 unit.
In Table 3, we define the meanarea as the average inefficiency score across the 29 areas, i.e., the national inefficiency score for each year.
Based on the new notation introduced in Table 2, we define the following binary variable, {beta}_{r,{n}_h}^{m_t}=left{begin{array}{c} 1 mathrm{if} {x}_{r,{n}_h}^{m_t}-{x^{prime}}_{r,{n}_h}^{m_t}<0 0kern2emathrm{otherwisese} end{array}right.
We report the significant LTR-tissue associations in table 2. We define "significant association" with a particular tissue when the LTR effect is seen in more than half of comparisons of that tissue with others.
In Table 2, we define the indicators and provide a set of guiding questions to help decision-making during the assessment of recommendations, curriculum proposals, syllabi or educational interventions.
In Table 1, we define the position of the crossovers with only two SGD coordinates: the position of the centromere-proximal heterozygous marker that is closest to the crossover/conversion event and the position of the centromere-distal homozygous markers representing the crossover.
As shown in Table 2, we define the effect of the genotypes by their effect on viral life history traits via model parameters, with each genotype having its own value of four critical parameters indexed by genotype: namely, for the i t h genotype, β Li, τ i, λ i, and θ i.
