| dc.description.abstract | This report explores how a gene mutation prediction system can be applied in the field of prostate cancer with a focus on creating such a system through experiments. Genes determines how a cell develops so knowing the mutation state of the genes provides valuable information for medical practitioners. Papers have showed it is possible using images of cancer tissue together with mutation data to train neural networks, which in turn can be used to predict the mutation state for selected genes in the tissue. This report explains the theory relating to the gene mutation prediction systems, and explores previous related studies. Further, this project attempts to create a gene mutation prediction system through conducting a series of experiments. Finally, suggestions for future work are discussed. | |