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Balancing between an increased size of the output predictions and the high specificity of predictions is achieved by altering these optional parameters.
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A more detailed analysis of the Nasonia genome sequences showed that the strong association between the recombination rate and the gene content is due to a greater distance between genes and an increased size of their introns in regions of the genome with a low recombination rate, relative to those with a high rate.
Five days after infection, 98% of inflammatory monocytes showed a Mikulicz cell phenotype and had an increased size ranging between 200 and 400 µm (Fig 2D).
Hence, one of the critical predictions of the model is an intra-specific relationship between increasing size and increasing cancer risk.
The interplay between the increasing size of the sample and the structure of the convective field established inside the reactor is analysed.
The obtained n indicates a transformation from strong → weak → strong intra-coupling between nanoparticles with increasing size.
For example, workers of the bumble-bee Bombus impatiens, unevenly distribute their brood care across space, which may cause increased size-differences between the brood [68].
Moreover, this comparison shows that there is a gap of increasing size between these two time lines from 2010 to 2013.
A strong correlation exists between increased repeat size, and either an increased genome size or an increased intergenic distance (Additional file 5).
Both antibodies demonstrated a significant relationship between membranous HER4 and increasing size and HER3 positivity (Table 3).
Average dry matter intake rate decreased as distance between patches increased (Prediction 4), whereas patch residence times increased with increasing size and distance between patches (Prediction 5).
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