(Al Neelain University, 2013) Elshibli Mohamed Ahmed
This study aimed to design simulation model to predict the order of events correlated
with specific result. A total of 23 genetic mutations tested in l76 bladder cancer
patients used as data of the real system. The simulation model was designed using the
frequency of mutation assuming that the most frequent events are the first-happing
ones. Correlation test was used to identify the order of the events. Application of
designed model resulted in six pathways of which two were main pathways whereas
the remaining were sub pathways. The first main pathway was long and characterized
by 10 events whereas the second main pathway was short, contain only 2 events. To
validate the simulation results the data compared with the biological and genetic
models showing complete accordance between the 2 models.
