Sentence examples for extensive between from inspiring English sources
There was extensive between breed (genetic) variation in feather pecking, cannibalism and general pecking behaviour.
As expected, striatal transcriptome differences were far more extensive between the independently derived progenitor strains than between the quasi-congenic strains and their background partner, B6By.
Genetic mixing is extensive between feral domestic cats and wildcats throughout their geographic ranges, but the genetic evidence supported the conclusion that cats were first domesticated in the Middle East, presumably during the rise of agriculture in the Fertile Crescent.
Most extensive between the Baltic and White seas in the north and the Black, Azov, and Caspian seas in the south, the lowland area narrows westward, lying to the south of the northwestern highlands; it is divided also by the English Channel and the mountains and plateaus of central Europe.
These SNPs were independent of each other (R2<0.2), although LD was moderate to extensive between most of the SNPs found at this gene (Figure 6C).
Each year about 10 million children die worldwide, with extensive between and within country variation [ 1, 2].
Previous work has shown that such adjacent populations undergo extensive between-host gene flow and are 'admixed' [ 44, 47- 50].
Many studies showed that active treatments reduced the size of lymphatic limbs, although extensive between-study heterogeneity in areas such as treatment comparisons and protocols, and outcome measures, prevented us from assessing whether any one treatment was superior.
Because of the extensive between-breed linkage disequilibrium (LD) in the F2 resource populations, standard association test, marker-assisted association test and F-drop test were performed to analyze the association between the candidate genes and the ear size in the current F2 resource population as described in Zhao et al.[ 30].
If that assumption is generally true, then the 25-fold increase in the number of training patterns can improve classification accuracy by a substantial margin (conversely: if there is extensive between-subject variability in the patterns, then moving to a leave-one-subject out approach can hurt classification accuracy).
