Gene-Disease Association Classification Using Xgboost Classifier

During last couple of decades, a lot efforts had been devoted by researchers in exploring gene disease relationships using Genome Wide Association studies. These among gene-disease can showcase new dimensions correlations at genetic level which may lead to reveal similarity. help prevention, diagnosis and treatment level. Also proper understanding between genes will better explanation complex functions human body. In this paper, have implemented machine learning model classify the as per respective semantic type. For this, authors used XGBoost Classifier research work. The performance score detailed analysis is given.