The data from all five laboratories and the four methods employed showed that alleles Glu-A3b, Glu-A3d and Glu-A3e were consistently identified by all four methods.
All statistical methods employed show core biopsies as consistently and significantly more proliferative than their corresponding surgical samples despite no intervening treatment.
None of the statistical methods employed show a significant difference between core biopsy and corresponding surgical sample proliferation values excepting the t-test excluding the outlier (Table 3).
Regardless of the method employed, networks show signs of material inhomogeneity at high fibre densities, in agreement with X-ray nanotomography results.
Re-analysis of this data using the methods employed here showed a median survival time for the ⩽10-day group of 2.9 months (95% CI (0.1 11.8)), which was significantly shorter (P=0.0003) than the median survival time for the >10-day group of 25.6 months (95% CI (11.8 100)).
Therefore genome G is the solution of the Breakpoint Median Problem on P, Q and R. ▪ Assuming the Breakpoint Median Problem for four genomes L, P, Q and R were also NP-hard, although we are not aware of any explicit proof, we could use the same method employed above to show that GGH with two outgroups is hard under the d B distance.
They survey and compare the different methods employed today, showing why their strengths and weaknesses depend on the underlying goal, and explaining why and when a given method should be considered.
The comprehensive details on the whole patient population studied and methods employed was shown in the JMTO LC00-03 report [ 10].
For example, mouse strains differ in effects of taste nerve section on taste papillae numbers (St John and Boughter 2004), and the methylene blue staining method employed in our study was shown to have a small false-positive rate (St John et al. 1995; Parks and Whitehead 1998).
The method employed in this study has been shown to be useful in constructing PPI networks and identifying the essential functional modules for pathogenic and defensive mechanisms in an infection process based on differential network analysis.
