In silico artefacts in the mapping procedure can also bias the allelic ratio distribution and increase the false positive rate.
This not only increases patient's comfort during the mapping procedure, but also increases safety by minimizing the risk of collision with the device by uncontrolled patient movements, for example, associated with seizures.
This procedure also enables the drawing of risk maps, which can be used by policy makers to target and develop community-based interventions.
Then we solve the core mapping problem by a fast while efficient stochastic algorithm called Simulated Allocation (SAL), which integrates our new latency model and also aims to optimize the communication power, latency in the mapping procedure.
This procedure also segmented gray matter, white matter and cerebrospinal fluid (CSF), producing probability maps for each of these components.
The mapping procedure is described below.
See Supplementary Methods for detailed mapping procedure.
This is also the first work on grape using multiple QTL models taking into account both main effects and digenic epistasis during the mapping procedure.
