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They tend to show that selection is overall positive, even in cases where one would expect to observe more negative selection patterns, according to empirical data on world migration flows reported by Grogger and Hanson (2011).
The designs of experiments to demonstrate preference for a particular prey are complex, because they must show that selection of prey when a choice of food is available is different from what happens when there is no choice.
We show that selection on these motifs operates across the genome, maintaining an over-representation of −10 motifs in regulatory sequences while eliminating them from the nonfunctional and, in most cases, from the protein coding regions.
Hamilton [1] used one-sex (female) demography [3] to show that selection against a rare mutation at an autosomal locus that reduces survival at any age is proportional to a female's expected survival-weighted reproduction past that age.
Average KA/KS in this data set was again high (0.89) and by using a gene tree of these repeats we performed maximum likelihood analyses as above to show that selection models were in all cases significantly more likely than neutral ones (for example, model 8 vs 8a, χ2 = 19.8, p<0.0001).
However, our results show that selection against recessive alleles can induce the opposite effect.
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A careful look at Charles Darwin's writings on sexual selection will show that sexual selection works through the management of attention -- what we would now call "information technologies".
They show that feature selection methods improve the classification accuracy.
Experimental results show that gene selection is strictly paired with learning classifier.
The results show that gene selection can improve the classification accuracy to some extent.
We show that sample selection bias can affect population structure analysis of genotype data from cattle.
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