[1]Jemal A, Sieg el R, Ward E, et al. Cancer statistics [J]. A Cancer Journal of Clinicians, 2011, (61): 212-236.
[2]Bruce A, Julian L, Martin R, et al. Molecular biology of the cell, fourth edition [M]. New York: Garland Science, 2004.
[3]Shin H, Sheu B, Joseph M, et al. Guiltbyassociation feature selection: identifying biomakers from proteomic profiles [J]. Biomed Inform, 2008, 41: 124-136.
[4]Somorjai RL, Dolenko B, Baumgartner R. Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions [J]. Bioinformatics, 2003, 19(12): 1484-1491.
[5]Thomas A, Tourassi GD, Elmaghraby AS, et al. Data mining in proteomic mass spectrometry[J]. Clinical Proteomics, 2006, 2(1): 13-21.
[6]Hanczar B, Courtine M, Benis A, et al. Improving classification of microarray data using prototypebased feature selection[J]. SIGKDD Exploration, 2003, 5: 23-30.
[7]Wang Yuhang, Fillia Makedon, James Ford, et al. HykGene: a hybrid approach for selecting marker genes for phenotype classification using microarray gene expression data[J]. Bioinformatics, 2005, 218): 1530-1537.
[8]Yang Pengyi, Zhang Zili, Zhou Bingbing, et al. A clustering based hybrid system for biomaker selection and sample classification of mass spectrometry data[J]. Neurocomputing, 2010, 73(13-16): 2317-2331.
[9]Yang Pengyi, Zhang Zili. A clustering based hybrid system for mass spectrometry data analysis[J]. Pattern Recognition in Bioinformatics, Lecture Notes in Bioinformatics, 2008, 5265: 98-109.
[10]Huang Rui, Liu Qingshan, Lu Hanqing, et al. Solving the small sample size problem of LDA [J]. Pattern Recognition, 2002, 3: 29-32.
[11]Dueck D, Frey BJ. Clustering by passing messages between data points[J]. Science, 2007, 315(5814): 972-976.
[12]李伟红,龚卫国,陈伟民,等. 基于SVMRFE的人脸特征选择方法[J]. 光电工程, 2006, 33(5): 113-117.
[13]王尧佳,祝磊,韩斌. 基于递归零空间线性判别分析算法的蛋白质质谱数据特征选择[J]. 航天医学与医学工程, 2010, 23(5): 324-328.
[14]孟辉,洪文学. 蛋白质组学质谱数据预处理技术综述[J]. 中国生物医学工程学报, 2009, 28(3): 469-475. |