Center of Artificial Intelligence and Intelligent computing, Faculty of Information Technology, Multi Media University, Cyberjaya, Selangor, Malaysia;
Center of Artificial Intelligence and Intelligent computing, Faculty of Information Technology, Multi Media University, Cyberjaya, Selangor, Malaysia;
Center of Artificial Intelligence and Intelligent computing, Faculty of Information Technology, Multi Media University, Cyberjaya, Selangor, Malaysia;
Center of Artificial Intelligence and Intelligent computing, Faculty of Information Technology, Multi Media University, Cyberjaya, Selangor, Malaysia;
protein fold prediction problem; ensemble classifier; rotation forest; feature extraction; principal component analysis; decision tree; C4.5; Random Forest; AdaBoost.Ml; logotboost; bagging;
机译:利用随机森林进行蛋白质折叠预测的实证研究
机译:小蛋白折叠率的预测:基于长度,二级结构含量,残基类型和稳定性的经验关系
机译:使用二维主成分分析和旋转林进行蛋白质 - 蛋白质相互作用的预测
机译:使用旋转林进行蛋白质折叠预测问题:实证研究
机译:从分子几何形状和经验评分功能预测蛋白质结合和折叠。
机译:使用二维主成分分析和旋转森林预测蛋白质-蛋白质相互作用
机译:小蛋白折叠率的预测:基于长度,二次结构含量,残留型和稳定性的经验关系