[1]Lee K，Man Z H，Wang D H，et al.Classification of microarray datasets using finite impulse response extreme learning machine for cancer diagnosis［J］.IEEE Industrial Electronics Society，2011，22(5):2347-2352
[2]Zong W W，Huang G B，Chen Y Q.Weighted extreme learning machine for imbalance learning［J］.Neurocomputing，2013，101(3):229-242.
[3]Su Y R，Wang R J，Li C X，et al.A dynamic subspace learning method for tumor classification using microarray gene expression data［C］//7th International Conference on Natural Computation.Shanghai，2011:396-400.
[4]Zhang X，Guan N Y，Jia Z L，et al.Semi-supervised projective non-negative matrix factorization for cancer classification［J］.Plos One，2015，10(9):e0138814.
[5]García V，Sánchez J S.Mapping microarray gene expression data into dissimilarity spaces for tumor classification［J］.Information Sciences，2015，294:362-375
[6]Zheng C H，Ng T Y，Zhang L，et al.Tumor classification based on non-negative matrix factorization using gene expression data［J］.IEEE Transactions on Nanobioscience，2011，10(2):86-93.
[7]Bolón-Canedo V，Sánchez-Marono N，Alonso-Betanzos A.Distributed feature selection:an application to microarray data classification［J］.Applied Soft Computing，2015，30:136-150.
[8]李克文，杨磊，刘文英，等.基于RSBoost算法的不平衡数据分类方法［J］.计算机科学，2015，42(9):249-252.(Li Ke-wen，Yang Lei，Liu Wen-ying，et al.Classification method of imbalanced data based on RSBoost［J］.Computer Science，2015，42(9):249-252.)
[9]张枭山，罗强.一种基于聚类融合欠抽样的不平衡数据分类方法［J］.计算机科学，2015，42(B11):63-66.(Zhang Xiao-shan，Luo Qiang.Unbalanced data classification algorithm based on clustering ensemble under-sampling［J］.Computer Science，2015，42(B11):63-66.)
[10]郑燕，王杨，郝青峰，等.用于不平衡数据分类的代价敏感超网络算法［J］.计算机应用，2014，34(5):1336-1340.(Zheng Yan，Wang Yang，Hao Qing-feng，et al.Cost-sensitive hypernetworks for imbalanced data classification［J］.Journal of Computer Applications，2014，34(5):1336-1340.)
[11]Alshamlan H M，Badr G H，Alohali Y A.Genetic bee colony (GBC) algorithm:a new gene selection method for microarray cancer classification［J］.Computational Biology & Chemistry，2015，56:49-60.
[12]Nguyen T，Khosravi A，Creighton D，et al.Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification［J］.Plos One，2015，10(3):e0120364.
[13]Huang G B，Zhu Q Y，Siew C K.Extreme learning machine:theory and applications［J］.Neurocomputing，2006，70:489-501.
[14]Sánchez M J，Cruz R M，Fernández N F，et al.On the suitability of extreme learning machine for gene classification using feature selection［C］// International Conference on Intelligent Systems Design & Applications.Sanya，2010:507-512.
[15]Baboo S S，Sasikala S.Multicategory classification using an extreme learning machine for microarray gene expression cancer diagnosis［J］.Communication Control and Computing Technologies，2010，4(3):748-757.
[16]Bharathi A，Natarajan A M.Microarray gene expression cancer diagnosis using machine learning algorithms［C］//International Conference on Signal & Image Processing.Quebec，2010:275-280.