Kaplan-Meier survival curves and subsequent P values (2-tailed logrank test) were generated using GraphPad Prism version 5.0 for Windows (GraphPad Software, www.graphpad.com).
The data for the accuracy test was generated using WGSIM (Li et al., 2009) to sample reads from the hg18 reference genome with the lengths and error rates shown in Table 2.
Moreover, this pattern is reproducible despite the fact that test data were generated using entirely different microarray platforms and species from those used in the generation of training data.
Finally, ortho-rectified images of a test field were generated using DEM from terrestrial laser scanning and acquired images.
The test sets were generated using the behavior curve illustrated in Figure 2. Feedbacks were taken from the nodes in the network that had transacted with node X.
Moreover, the induced signals for the test dataset were generated using an independent forward solver in the frequency-domain, introducing an additional source of discrepancies in forward modelling.
Fastq data files were split using index sequences and downstream methylation analysis was performed using Bismark (Krueger & Andrews 2011) and summary plots and test statistics were generated using the R statistical software (R-Core-Team 2014).
Randomisation assignments were given to participants following baseline testing; these were generated using a random number table and a person not involved in the study randomised participants into three groups in each residential care facility.
It is tested on 96 test problems that were generated using the benchmark problem generation scheme for problems defined on AOG as developed in literature.
The performance of the proposed methodology is benchmarked against a set of test instances that were generated using design of experiment techniques and analysis of variance is performed to determine the impact of various factors on the objective.
