Empirical studies on the speed of convergence of neural network training using genetic algorithms.
On the other hand, there is a substantial amount of phenotypic covariance, and genetic and shared environmental influences contribute substantially to this overlap.
It is to be expected that the genetic, environmental and non-shared influences on these two variables would differ somewhat, and possibly substantially.
In many cases, these measures declined substantially with relatively small increases in genetic distance.
Mathematical model for studying genetic variation in terms of restriction endonucleases.
Analyzing twin resemblance in multisymptom data : genetic applications of a latent class model for symptoms of conduct disorder in juvenile boys.
Finally, we investigated the genetic relationship between affective and somatic depressive symptoms.
These improvements in the outcome of pregnancy, nonetheless, concomitantly increase the genetic risk in the surviving population.
