Author(s)

Yuanzhou Wei¹, Meiyan Gao^1*, Jun Xiao^1*, Chixu Liu^2*, Yuanhao Tian^3*, Ya He^4*

¹College of Engineering and Computing, Florida International University, Miami, USA.
²College of Intelligent Equipment, Shandong University of Science and Technology, Qingdao, China.
³Steven J. Green School of International & Public Affairs, Florida International University, Miami, USA.
⁴School of Economics, Capital University of Economics and Business, Beijing, China.

Cancer has become a cause of concern in recent years. Cancer genomics is currently a key research direction in the fields of genetic biology and biomedicine. This paper analyzes 5 different types of cancer genes, such as breast, kidney, colon, lung and prostate through machine learning methods, with the goal of building a robust classification model to identify each type of cancer, which will allow us to identify each type of cancer early, thereby reducing mortality.

Cancer, Healthcare, SVM, Random Forest, Neural Network, Deep Learning

Wei, Y. , Gao, M. , Xiao, J. , Liu, C. , Tian, Y. and He, Y. (2023) Research and Implementation of Cancer Gene Data Classification Based on Deep Learning. Journal of Software Engineering and Applications, 16, 155-169. doi: 10.4236/jsea.2023.166009.