Sentence examples for possible mean value from inspiring English sources

To set the scale, we have expressed the copy number as a fraction of its maximum possible mean value, g0, which is reached at high concentrations of the transcriptional activator.

Due to limited precision of the data published by Frayling et al, a conservative worst case scenario approach was adopted by using the highest possible mean value and SE that still fitted the common rule for rounding numerical values.

This rule also applies to the other endpoints except that the maximum scores for IR and CR are 2 and 3, thus resulting in seven and ten possible mean values, respectively.

Considering the obtained ROI as a random value, it is possible to calculate the mean value and the standard deviation.

Conversely, it is possible to take the mean value over the thickness of the LV, at each angular location and at each position along the long axis, and assign that mean value to the corresponding voxel in the polar map.

For a urban network with a set N of links, possible aggregations are the mean value of the discrepancies over all the links, e.g. the mean value Open image in new window, or the square mean value Open image in new window, or any other aggregated representative of all data discrepancies.

In the special case when all i w = 1 we obtain the simple arithmetic mean model (which we refer to below as model M) with coefficients (6)In addition to calculating i,j R for individual models, it is also possible to compute the mean value of ij R for the ith model compared to the (K − 1) other candidates labelled by j, such that (7).

However, it is possible to calculate the mean value of the stochastic process that governs the replication dynamics.

Accordingly, the trajectory data were mined to identify possible correlations between the mean value of d for a given hybridized state and the time interval of that hybridized state.

This approach was chosen because it is not possible to determine a mean value for MED scores in order to use it as a binary classifier because the number of epitopes predicted per protein can vary significantly.

Therefore, the trajectory data were analyzed to identify possible correlations between the mean value of d for a given hybridized state and the variance in d during that hybridized state (as a measure of the degree of fluctuations).