Computational Ensemble Approach for Immune System Study: Conformational B-cell Epitope Prediction
作者: Yuh-Jyh Hu Shun-Ning You and Chu-Ling Ko
刊名: European Journal for Biomedical Informatics, 2018, Vol.14 (1)
来源数据库: Pulsus Group
关键词: B-cellEpitopeMeta-decision treeEnsemble learning
原始语种摘要: Various tools have been developed to predict B-cell epitopes. We proposed a multistrategy approach by integrating two ensemble learning techniques, namely bagging and meta-decision tree, with a threshold-based cost-sensitive method. By exploiting the synergy among multiple retrainable inductive learners, it directly learns a tree-like classification architecture from the data, and is not limited by a prespecified structure. In addition, we introduced a new three-dimensional sphere-based structural feature to improve the window-based linear features for increased residue description. We performed independent and cross-validation tests, and compared with previous ensemble meta-learners and state-of-the-art B-cell epitope prediction tools using bound-state and unboundstate antigens. The...
全文获取路径: PDF下载  Pulsus  (合作)

  • epitope 抗原决定部位
  • previous 先前的
  • demonstrated 探明的储量
  • state 状态
  • learning 学识
  • prediction 预报
  • decision 决定
  • ensemble 
  • tools 工具
  • structural 构造