Prediction of Peptides Binding to Major Histocompatibility Class II Molecules Using Machine Learning

• 作 者: Fateme Kazemi Faramarzi Majid
• 机 构: DepartmentofBiomedicalEngineering
• 出 处: 工程(英文)(1947-3931)
• 发表日期: 2013年10期
• 关键词: MHC Class II Imbalanced Data SMOTE SVM MHC Class II Imbalanced Data SMOTE SVM

In daily life,we are frequently attacked by infection organisms such as bacteria and viruses. Major Histocompatibility (MHC) molecules have an essential role in T-cell activation and initiating an adaptive immune response. Development of methods for predi