Cancer Classification of Gene Expression Data using Machine Learning Models

The World Cancer Report described cancer as a global problem because it affects the whole greater population. It was projected by that cancer incidence will increase to 20 million new cases by 2025 [2]. There are several known published literatures on cancer classification techniques with varying models and implementations. This paper presents the existing technology of microarray gene expression and classify the cancer genes using machine learning algorithms. A logical design was presented using supervised classification and gene selection model. This model can improve the process and method of identifying and classifying cancer disease using gene expression data.