As background noise in the simulation can generate false positives, if the means of the last million steps of the new simulation of each element was equal to the means of the previous simulations, then we considered steady state to have been reached.
To mimic the real background noise, these SNPs were resampled by a bootstrap procedure to create the background SNPs in the simulations, and we kept the read counts (x idj, n idj ) of each background SNP as is in the simulated data.
Three case scenarios were developed to include variety in the background of the simulation patients to mediate against knowledge and diagnostic documentation skills that were possibly related to knowledge of one specialty only.
Two uncorrelated background variables were used in the simulation.
The intensity of the background magnetic field varies in the simulation system according to the dipole field, as shown in Figure 2a. Figure 2b shows the spatial distribution of cold electrons in the simulation system.
Multiple background fields can be included in the simulation and, where applicable, the propagation direction, field type (plane wave, focussed paraxial, constant crossed, or constant magnetic), and time envelope of each can be independently specified.
The following background optical properties were used in the simulation: absorption coefficient μ a = 0.017 mm−1, reduced scattering coefficient μ s' = 1.1 mm−1, anisotropy factor g = 0.8, and refractive index n = 1.4.
In the simulation, the background is a patch of terrain selected near the Kun-yu mountain in Shandong, China.
Secondly, in the phantom experiments, but not in the simulations, background activity was uniform around the tumour.
Note that as opposed to our previous study (Chowdhury et al. 2013), here only 1 trial of background EEG/MEG data was used in the simulations, thus mimicking the occurrence of single non-averaged spikes.
