USING RANDOM FOREST TO PREDICT T-CELL EPITOPES OF DENGUE VIRUS

The Spread of Dengue virus is considered as one of the severe concern of public health across the world. The cause of an infection is due to the bite of Aedes mosquito. It has been estimated, that around 120 million new cases of dengue infections are reported from about 120 endemic countries. So there is an urgent need to have a vaccine on time for this deadly virus. Here in this study we are trying to predict T-cell epitopes of Dengue virus using machine learning which may act as potential candidates for vaccine development. The accuracy of the proposed model has been recorded which is far better than the existing models. The robustness of the proposed model has been validated using repeated K fold cross validation technique.