Sentence examples for mean maximum value from inspiring English sources

If one locus is assumed to have known allele frequencies the situation in an association study in which LD between a known marker locus and an unknown trait locus is of interest we find that the mean maximum value of r2 is greatest when the known locus has a minor allele frequency of ∼0.30131.

In the probeset selection procedure, the background level was set to 3.1 on the basis of the mean signal intensities of 62 reporter probesets (i.e. several controls that are not in the investigated poplar genomes; mean value 2.5 and mean maximum value 3.5).

Assuming independent uniform distributions for the allele frequencies of two biallelic loci, we find that the mean maximum value of r2 is ∼0.43051, and that r2 can exceed a threshold of 4/5 in only ∼14.232% of the allele frequency space.

The percentage of the mean maximum value was plotted against the corresponding position along the nephron axis.

For contract specialists, we observe a mean (maximum) value of 0.54 (4.39), and for CGPs we have a similar mean value of 0.53 (0.53).

Mean maximum value of UTI within 24 hours after TAVI was significantly higher in patients with AKI compared with patients without renal impairment (2.19 ± 3.11 vs. 0.67 ± 0.816, P = 0.037) and higher in patients with AKI 3 compared with patients with AKI 2 (4.73 ± 3.58 vs. 0.59 ± 0.71, P = 0.022).

Mean maximum values and mean minimum values for monthly temperature were calculated and the results show significant trend in maximum monthly mean with p value was less than 0.05, while the mean minimum monthly did not give significant trend (p = 0.301).

Mean maximum values and maximum single values of axial forces and bending moments were calculated.

Mean maximum values of intracochlear fluid pressure varied between 0.41 mm Hg and 1.27 mm Hg.

The Fprediction for this case is given by max{score(F26a)score(F470b) score(F6c)} where max means maximum value in the expression.

The final score is defined as Fprediction given by max{score(F470a)∪score(F470b)∪ score(F449c)} where max means maximum value in the expression.