Overall, considering we expect this March to be slightly milder than last March, but with less potential for sustained warmth late in the month into early April, we're predicting the peak bloom to occur around the same time.
This was a surprising result, considering we expect cutinase to be expressed more strongly during initial penetration events, rather than later in infection.
If, for a given probe set, the same probe has the highest fluorescence intensity in all seven microarrays considered, we expect that = 7.
Given source-detector configuration, and the geometry and optical properties of feet in the wavelength region considered, we expect spatial resolution of approximately ~0.5cm in the center of the feet, and ~0.2cm towards the surface regions [ 18, 19].
However, since the condensed water or ice content in volcanic plumes is small (typically less than 1.5 g/kg for the eruption conditions we consider), we expect the differences in the density of condensed water phases to have a negligible effect on the bulk density of theplume.
Not picking our only outstanding dribbler (Sané) didn't turn out to be such a great idea, considering we were expecting three teams in our group who would park the bus.
All things considered, we would expect area utilization rates of endoscopy for CRC screening to be influenced more strongly by market and regulatory factors.
Given that we are focusing on regions already known to show genome-wide association to disease, this prior for disease association may appear low: within any region we consider, we do expect there to exist a causal variant.
However, when the concentration plot of the active drug (A0) is considered, we would expect the prodrug treatment to be highly effective, as the active drug concentration is high throughout most of the tumour.
For example, considering mammals, we expect the female nucleotide substitution rate to be lower than the male substitution rate, in which case proviruses on the X chromosome will receive fewer nucleotide substitutions than those on the autosome.
When considering coexpression, we expect that genes found to be highly coexpressed in replicate dataset 1 would also be highly coexpressed in replicate dataset 2. However, due to confounding effects, we may observe a high level of discordance between coexpressions found using two separate replicate datasets.
