Human Cancer Classification and Prediction Based on Gene Profiling

摘要: Cancer is one of the larger families diseases; it a collection 100s diseases that involve abnormal cell to grow and spread other parts body which leads worldwide death human being. There are different types cancer, so for those we need identify classify all types. In field bioinformatics, main important thing cancer diagnosis, do by selecting subset feature gene. greatest significance classifying tumors. By providing an accurate prediction various tumors, can provide better treatment patients also reduces toxicity on patients. The in this paper differentiate between subtypes creating methodologies. This explains methodologies, based gene profiling classification cancer. proposed methodology combination symmetrical uncertainty (SU) genetic algorithm (GA).