%0 Journal Article
%T Research and Implementation of Cancer Gene Data Classification Based on Deep Learning
%A Yuanzhou Wei
%A Meiyan Gao
%A Jun Xiao
%A Chixu Liu
%A Yuanhao Tian
%A Ya He
%J Journal of Software Engineering and Applications
%P 155-169
%@ 1945-3124
%D 2023
%I Scientific Research Publishing
%R 10.4236/jsea.2023.166009
%X 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.
%K Cancer
%K Healthcare
%K SVM
%K Random Forest
%K Neural Network
%K Deep Learning
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=125884