OALib Journal期刊
多发性骨髓瘤基因表达谱分析
Keywords: 神经网络 ,决策树 ,基因表达谱
Abstract:
为了依据肿瘤基因表达谱数据提取出其中蕴含的样本分类规则，以多发性骨髓瘤的基因表达谱为例，提出了一种在基因表达数据中提取分类特征规则的方法．该方法从统计学角度出发，以基因与样本类别问的相关系数作为衡量属性包含样本分类信息量的标准，并利用神经网络进行属性规约找出分类特征属性集，最后利用决策树进行知识提取，给出样本分类的产生式规则．实验结果表明，所提取出的3条规则对实验样本正确分类率达到100％．
References
[1] RAMASWAMY S, GOLUB T R. DNA microarrays in clinical oncology[J]. Journal of Clinical Oncology, 2002, 20: 1932-1941. [2] LANDER E S, WEINBERG R A. Genomics: Journey to the center of biology[J]. Science, 2000, 287: [3] 1777-1782. [4] LANDER E S. Array of hope[J], Nature Genetics, 1999, 21(supp): 3-4. [5] GOLUB T R, SLONIM D D, TAMAYO P, et al. Molecular classification of cancer: Class discovery and class [6] KHAN J, WEI J S, RINGNER M, et al. Classification and diagnostic prediction of cancers using gene [7] RAMASWAMY S, TAMAYO R, RIFKIN R, et al. Multiclass cancer diagnosis using tumor gene expression [8] signatures[J]. PNAS, 2001, 98: 15149-15154. [9] ALIZADEH A A, EISEN M B, DAVIS R E, et al. Distinct types of diffuse large B-cell lymphoma identified [10] by gene expression profiling[J]. Nature, 2000, 403: 503-511. [11] gene expression profiling[J]. Nature, 2000, 406: 536-540. [12] PEROU C M, SORLIE T, EISEN M B, et al. Molecular portraits of human breast tumours[J]. Nature, 2000, [13] 406: 747-752. [14] Lambert Lab of Myeloma Genetics. Gene Expression Profile of Multiple Myeloma [DB/OL]. http: //lambertlab.uams. [15] prediction by gene expression monitoring[J]. Science, 1999, 286: 531-537. [16] expression profiling and artificial neural networks[J]. Nature Med,' 2001, 7: 673-679. [17] BITTNER M, MELTZER P, CHEN Y, et al. Molecular classification of cutaneous malignant melanoma by [18] edu/publicdata.htm, 2001-09-11/2003-03-01. [19] QUINLAN J R C5.0: Rule Quest Research Data Mining Tools[CP/OL]. http: //www. rulequest. com, 2003-01-05/2003-04-10. [20] SUNDBLAD A, COUTINHO A, BJORKHOLM M, et al. V-region-specific alterations of serum IgM production in multiple myeloma of IgG class[J]. The Hematology Journal, 2000, 1: 102-110.
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