Prediction of Immunogenic Response using Orange: A Machine Learning Tool

Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative qualitative data analysis and interactive data visualization. Orange. Developer(s) University of Ljubljana. Orange is a visual programming environment for data science and machine learning projects. The machine learning based prediction algorithms such as tree, logistic regression, random forest, and SVM may be used and validate with leave one out (LOO), random sampling and cross validation test-scoring methods to identify the immunogenic response.

To develop an effective prediction model by using a large number of feature selection and classification methods.

Day 1:

• Orange 3 introduction
• Overview of Orange3 and simulated data set of protein
• Overview of machine learning algorithm

Day 2:

• Machine learning methods and prediction model
• Prediction model based on Tree Classification, Logistics Regression
• Prediction model based on Random Forest, SVM

Day 3:

• Feature Ranking and Visualization
• PCA, Hierarchical Clustering
• Feature Ranking and Scoring