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The prothrombotic score, calculated as the sum of prothrombotic alleles, is likely an oversimplification, since it standardized the contribution of each gene variant and does not allow distinguishing the possible different transmission models, as well as the different biological weight of the polymorphisms.
Biological weight indices were assigned to each type of lesion: necrotic lesions – 0.75, chlorotic lesions – 0.20, and flecks – 0.05 so that the sum of those indices would be equal to 1.
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This likely reflects how olfactory systems function to make sense of a complex environment, by assigning biological weights and values to different olfactory neuron activity patterns that together influence a behavioral choice.
Biological variables: weight, height, body mass index, waist circumference, blood pressure.
Thus, the algorithm can predict a direct interaction by considering the biological information weight.
In other words, the variation of biological information weight can give an idea of the relationship between expression profiles and the biological data.
This would suggest that FGFR1 can be expressed in and exert a biological effect weight-bearing differentiated myofibers, as it does in unloaded muscle fibers.
Table 1 shows baseline values of the biological variables, birth weight and weaning weight.
Several econometric specifications are used: two OLS models, one linear and one nonlinear, and an IV model using a sibling's or biological child's weight as an instrument for respondent weight.
Results showed that landraces of moderate regions have more seed yield and highest yield related parameters like biological yield, Seed weight per plant, Number of seeds per capsule, capsule weight per plant, number of capsules per plant, plant diameter and plant height.
These systems fail because a single variable cannot adequately account for the biological variability of weight-for-age and weight-for-length [10, 11].
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