机译:癌症分类从微阵列数据进行基因组紊乱研究使用最优判别独立分量分析和内核极端学习机
Department of Pharmacy Ear-Nose-Throat Hospital in Ho Chi Minh city Ho Chi Minh City Vietnam;
Department of Economic and Administrative Pharmacy Faculty of Pharmacy Pham Ngoc Thach University of Medicine Ho Chi Minh City Vietnam;
Department of Economic and Administrative Pharmacy Faculty of Pharmacy Pham Ngoc Thach University of Medicine Ho Chi Minh City Vietnam;
Department of Economic and Administrative Pharmacy Faculty of Pharmacy Ton Duc Thang University Ho Chi Minh City Vietnam;
2Department of Economic and Administrative Pharmacy Faculty of Pharmacy Pham Ngoc Thach University of Medicine Ho Chi Minh City Vietnam;
kernel extreme learning machine; dataset; gene selection; microarray; modified firefly based discriminant independent component analysis;
机译:混合核极限学习机和改进的Cat群优化算法在微阵列医学数据分类中的应用
机译:基于集成特征选择和改进的判别独立成分分析的特征提取新方法
机译:从独立分量子空间中基于模糊的特征选择,用于微阵列数据的机器学习分类
机译:使用极限学习机基于微阵列数据对癌症进行多分类
机译:高维微阵列癌症数据预测机器学习算法的实证分析
机译:从独立分量子空间中基于模糊的特征选择用于微阵列数据的机器学习分类
机译:基于模糊的独立分量子空间特征选择,用于微阵列数据的机器学习分类