Calculating the Cancer Gene Expression Data Using Radial Basis Function and Neural Network: A Survey

Abstract

Cancer is a very much major problem which gives tough to the medical science throughout in the world. Now a days so many data mining techniques are used to detect the Cancer in their earlier stages are increasing. But getting the data accuracy gives the very poor results in researching to know the idea about the  Cancer, accurate classification is more  essential for successful diagnosis  of Cancer and helps to the  doctors to start the  proper treatment. Cancer gives the cell mutation in genetic structure. So much uncontrolled growth of these patterns and cells are difficult to identify. Gene expression gives the information’s about the regulated genetic levels and to monitor the thousands of genes simultaneously. This survey gives the details about calculating the gene expression to detect the cancer in their starting point by the Radial Basis Function and Neural Network. In future modifications of this technique can produce 100% accuracy and proper methods to cure cancer.